Olena-patches

olena-patches@lrde.epita.fr

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last-svn-commit-33-ge0453aa Work on Millet hsv descriptors.

by Yann Jacquelet

* green/exp/annotating/hsv: New directory. * green/Exp/annotating/hsv/hsv.cc: New source file. --- milena/sandbox/ChangeLog | 24 + .../annotating/{achromastism => hsv}/Makefile.am | 0 milena/sandbox/green/exp/annotating/hsv/hsv.cc | 652 ++++++++++++++++++++ 3 files changed, 676 insertions(+), 0 deletions(-) copy milena/sandbox/green/exp/annotating/{achromastism => hsv}/Makefile.am (100%) create mode 100644 milena/sandbox/green/exp/annotating/hsv/hsv.cc diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index 7489f70..0e7ac9c 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -1,5 +1,28 @@ 2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Work on Millet hsv descriptors. + + * green/exp/annotating/hsv: New directory. + * green/Exp/annotating/hsv/hsv.cc: New source file. + +2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + + Work on histograms view as density. + + * green/exp/annotating/histo: New directory. + * green/exp/annotating/histo/histo.cc: New Makefile.am. + * green/exp/annotating/histo/histo.cc: New source. + +2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + + Test error quantification as a color descriptor in our database. + + * green/exp/annotating/error: New directory. + * green/exp/annotating/error/Makefile.am: New Makefile. + * green/exp/annotating/error/error.cc: New source. + +2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Benchmark few descriptors. * green/exp/annotating/bench: New directory. @@ -10,6 +33,7 @@ Test on image database the achromatism descriptor. + * green/exp/annotating/achromatism: New directory. * green/exp/annotating/achromatism/Makefile.am: New Makefile. * green/exp/annotating/achromatism/achromatism.am: New source. * green/exp/annotating/achromatism/text-color.txt: New image class. diff --git a/milena/sandbox/green/exp/annotating/achromastism/Makefile.am b/milena/sandbox/green/exp/annotating/hsv/Makefile.am similarity index 100% copy from milena/sandbox/green/exp/annotating/achromastism/Makefile.am copy to milena/sandbox/green/exp/annotating/hsv/Makefile.am diff --git a/milena/sandbox/green/exp/annotating/hsv/hsv.cc b/milena/sandbox/green/exp/annotating/hsv/hsv.cc new file mode 100644 index 0000000..2aa9113 --- /dev/null +++ b/milena/sandbox/green/exp/annotating/hsv/hsv.cc @@ -0,0 +1,652 @@ +// HSV TEST CF MILLET 2008 + +#include <iostream> +#include <sstream> +#include <boost/filesystem.hpp> + +#include <mln/img_path.hh> + +#include <mln/accu/stat/histo1d.hh> + +#include <mln/arith/minus.hh> +#include <mln/arith/div.hh> + +#include <mln/core/image/image1d.hh> +#include <mln/core/image/image2d.hh> +#include <mln/core/image/dmorph/image_if.hh> + +#include <mln/data/convert.hh> +#include <mln/data/compute.hh> +#include <mln/data/stretch.hh> +#include <mln/data/transform.hh> + +#include <mln/literal/zero.hh> +#include <mln/literal/colors.hh> +#include <mln/literal/grays.hh> + +#include <mln/math/max.hh> +#include <mln/math/min.hh> +#include <mln/math/sqr.hh> +#include <mln/math/sqrt.hh> + +#include <mln/opt/at.hh> + +#include <mln/geom/nsites.hh> + +#include <mln/fun/v2v/rgb_to_hue_map.hh> +#include <mln/fun/v2v/rgb_to_saturation_map.hh> +#include <mln/fun/v2v/rgb_to_value_map.hh> + +#include <mln/io/ppm/load.hh> +#include <mln/io/pgm/save.hh> +#include <mln/io/plot/save_image_sh.hh> + +#include <mln/value/rgb8.hh> + +//============================================================================// +// HISTOGRAM +//============================================================================// + +template <typename I> +mln_value(I) count_histo(const mln::Image& histo_) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + mln_value(I) result = mln::literal::zero; + mln_piter(I) p(histo.domain()); + + for_all(p) + result += histo(p); + + return result; +} + +template <typename I> +mln_value(I) sum_frequency_histo(const mln::Image& histo_) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + mln_value(I) sum = mln::literal::zero; + mln_piter(I) p(histo.domain()); + + for_all(p) + sum += histo(p); + + return sum; +} + +template <typename I> +mln_value(I) count_null_frequency_histo(const mln::Image& histo_) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + mln_value(I) count = mln::literal::zero; + mln_piter(I) p(histo.domain()); + + for_all(p) + if (0 == histo(p)) + count++; + + return count; +} + +template <typename I> +mln_coord(mln_site_(I)) peak_histo(const mln::Image& histo_) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + // Find the peak of the histogram + mln_value(I) v_max = mln::opt::at(histo, mln::literal::zero); + mln_coord(mln_site_(I)) p_max = mln::literal::zero; + mln_piter(I) p(histo.domain()); + + for_all(p) + { + if (v_max < histo(p)) + { + v_max = histo(p); + p_max = p.ind(); + } + } + + return p_max; +} + +template <typename I> +mln_value(I) max_frequency_histo(const mln::Image& histo_) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + // Find the value of the peak from the histogram + mln_value(I) max = mln::opt::at(histo, mln::literal::zero); + mln_piter(I) p(histo.domain()); + + for_all(p) + { + max = mln::math::max(histo(p),max); + } + + return max; +} + +template <typename I> +float mean_histo(const mln::Image& histo_) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + // Find the mean of the histogram + float sum = 0; + float mean = 0; + + mln_piter(I) p(histo.domain()); + + for_all(p) + { + sum += histo(p); + mean += p.ind()*histo(p); + } + + mean = mean / sum; + + return mean; +} + +template <typename I> +float cmp_equi_frequency_histo(const mln::Image& histo_) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + // Find the mean of the histogram + float sum = 0; + float var = 0; + + mln_piter(I) p(histo.domain()); + + for_all(p) + { + sum += histo(p); + var += mln::math::sqr(histo(p) - (1/256.0)); + } + + var = var / sum; + + return var; +} + +template <typename I> +float var_histo(const mln::Image& histo_, float mean) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + // Find the mean of the histogram + float sum = 0; + float var = 0; + + mln_piter(I) p(histo.domain()); + + for_all(p) + { + sum += histo(p); + var += mln::math::sqr(p.ind() - mean) * histo(p); + } + + var = var / sum; + + return var; +} + +template <typename I> +float mean_frequency_histo(const mln::Image& histo_) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + // Find the mean of the histogram + float sum = 0; + float mean = 0; + + mln_piter(I) p(histo.domain()); + + for_all(p) + { + sum++; + mean += histo(p); + } + + mean = mean / sum; + + return mean; +} + +template <typename I> +float stddev_frequency_histo(const mln::Image& histo_, float mean) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + // Find the var of the histogram + float sum = 0; + float var = 0; + + mln_piter(I) p(histo.domain()); + + for_all(p) + { + sum++; + var += mln::math::sqr(histo(p)-mean); + } + + var = mln::math::sqrt(var / sum); + + return var; +} + + +//============================================================================// +// HUE TEST +//============================================================================// + +mln::value::rgb8 label_val(const mln::value::int_u8 val) +{ + mln::value::rgb8 result; + + if (82 > val) + result = mln::literal::black; + else if (179 > val) + result= mln::literal::medium_gray; + else + result = mln::literal::white; + + return result; +} + + +mln::value::rgb8 label_orange_or_brown(const mln::value::rgb8 color, + const mln::value::int_u8 sat, + const mln::value::int_u8 val) +{ + mln::value::rgb8 result; + + if (mln::literal::orange == color) + { + unsigned dist_orange = mln::math::abs(sat - 184) + + mln::math::abs(val - 65); + + unsigned dist_brown = mln::math::abs(sat - 255) + + mln::math::abs(val - 125); + + if (dist_orange < dist_brown) + result = mln::literal::orange; + else + result = mln::literal::brown; + } + else + result = color; + + return result; +} + +mln::value::rgb8 label_yellow_or_green(const mln::value::rgb8 color, + const mln::value::int_u8 val) +{ + mln::value::rgb8 result; + + if (mln::literal::yellow == color) + { + // Is it green or yellow ? + if (80 > val) + result = mln::literal::green; + else + result = mln::literal::yellow; + } + else + return color; + + return result; +} + +mln::value::rgb8 label_hue(const mln::value::int_u8 hue) +{ + mln::value::rgb8 result; + + + if (10 > hue) + result = mln::literal::red; + else if (32 > hue) + result = mln::literal::orange; + else if (53 > hue) + result = mln::literal::yellow; + else if (74 > hue) + result = mln::literal::green; // chartreuse + else if (96 > hue) + result = mln::literal::green; + else if (116 > hue) + result = mln::literal::green;// turquoise, aigue-marine + else if (138 > hue) + result = mln::literal::green; // cyan + else if (159 > hue) + result = mln::literal::blue; // azur + else if (181 > hue) + result = mln::literal::blue; + else if (202 > hue) + result = mln::literal::violet; + else if (223 > hue) + result = mln::literal::pink; + else // if (244 > hue) + result = mln::literal::red; + + return result; +} + +float hue_test(const std::string input, + const std::string output, + const std::string tmp, + const short threshold) + +{ + typedef mln::fun::v2v::rgb_to_hue_map<8> t_rgb_to_hue_map; + + mln::image2d<mln::value::rgb8> input_rgb8; + mln::image2d<mln::value::int_u8> map; + mln::image1d<unsigned> histo; + mln::image1d<float> histo_float; + float cnt1; + float cnt2; + float prop; + short peak; + mln::value::rgb8 color; + float sum; + mln::point1d inf; + mln::point1d sup; + + mln::io::ppm::load(input_rgb8, input.c_str()); + + map = mln::data::transform(input_rgb8, t_rgb_to_hue_map()); + histo = mln::data::compute(mln::accu::meta::stat::histo1d(), map); + sum = sum_frequency_histo(histo); + histo_float = mln::data::convert(float(), histo) / sum; + peak = mean_histo(histo); //peak_histo(histo); + color = label_hue(peak); + inf = mln::point1d(mln::math::max(0, peak-threshold)); + sup = mln::point1d(mln::math::min(255, peak+threshold)); + cnt1 = count_histo(histo_float|mln::box1d(inf,sup)); + cnt2 = count_histo(histo_float); + prop = ((100.0 * cnt1) / cnt2); + + mln::io::plot::save_image_sh(histo_float, output.c_str()); + mln::io::pgm::save(map, tmp.c_str()); +// std::cout << "peak = " << peak << std::endl; +// std::cout << "color = " << color << std::endl; + + return prop; +} + +//============================================================================// +// SATURATION TEST +//============================================================================// + +float saturation_test(const std::string input, + const std::string output, + const std::string tmp, + const short threshold) + +{ + typedef mln::fun::v2v::rgb_to_saturation_map<8> t_rgb_to_saturation_map; + + mln::image2d<mln::value::rgb8> input_rgb8; + mln::image2d<mln::value::int_u8> map; + mln::image1d<unsigned> histo; + mln::image1d<float> histo_float; + float cnt1; + float cnt2; + float sum; + float prop; + + mln::io::ppm::load(input_rgb8, input.c_str()); + + map = mln::data::transform(input_rgb8, t_rgb_to_saturation_map()); + histo = mln::data::compute(mln::accu::meta::stat::histo1d(), map); + sum = sum_frequency_histo(histo); + histo_float = mln::data::convert(float(), histo) / sum; + cnt1 = count_histo(histo_float | mln::box1d(mln::point1d(0), + mln::point1d(threshold))); + cnt2 = count_histo(histo_float); + prop = ((100.0 * cnt1) / cnt2); + + mln::io::plot::save_image_sh(histo_float, output.c_str()); + mln::io::pgm::save(map, tmp.c_str()); + + return prop; +} + +//============================================================================// +// VALUE TEST +//============================================================================// + +// calcul de contribution +float r(short p, unsigned histo_p, short x, unsigned histo_x) +{ + float result = mln::math::sqr(((float)histo_x / histo_p) * (x-p)); + + return result; +} + +template <typename I> +float stddev3(const mln::Image& histo_, unsigned peak) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + // Compute stddev + + float stddev = 0.0; + + mln_piter(I) p(histo.domain()); + + for_all(p) + { + stddev += r((short)peak, mln::opt::at(histo,peak), p.ind(), histo(p)); + } + + return stddev; +} + +template <typename I> +float stddev2(const mln::Image& histo_, unsigned peak, unsigned limit) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + float stddev_low = 0.0; + float stddev_up = 0.0; + float ret = 0.0; + + // A transformer avec des iterators + + if (250 > peak) + stddev_up = stddev3(histo |mln::box1d(mln::point1d(peak+1), + mln::point1d(peak+limit)), peak); + + if (5 < peak) + stddev_low = stddev3(histo |mln::box1d(mln::point1d(peak-limit), + mln::point1d(peak-1)), peak); + + ret = (250 < peak)? stddev_low : (5 > peak)? stddev_up : + (stddev_low + stddev_up)/2; + + return ret; +} + +// DOC: +// la discrimination entre la base AFP et la base ICDAR peut se faire en +// étudiant la forme des densités des niveaux de gris. +// Les images naturelles semblent avoir un spectre recouvrant +// en général les 256 niveaux de gris alors que les images de documents ont +// une présence importante du fond. Dans le cadre d'une densité, ce qui est +// alloué sur le fond ne peut se retrouver ailleurs. Une comparaison avec la +// densité équiprobable nous renseigne donc sur la nature des images. +// Il semble néanmoins qu'un certain nombre d'images défient ce dispositif. +// Par exemple des gros plans sur des zones mono-teintée (ski, voile,site web). + + + + +float value_test(const std::string input, + const std::string output, + const std::string tmp, + const short threshold) + +{ + typedef mln::fun::v2v::rgb_to_value_map<8> t_rgb_to_value_map; + + mln::image2d<mln::value::rgb8> input_rgb8; + mln::image2d<mln::value::int_u8> map; + mln::image1d<unsigned> histo; + mln::image1d<float> histo_float; + float cnt1; + float cnt2; + float prop; + float sum; + float prop4; + short peak; + mln::point1d inf; + mln::point1d sup; + + + mln::io::ppm::load(input_rgb8, input.c_str()); + + map = mln::data::transform(input_rgb8, t_rgb_to_value_map()); + histo = mln::data::compute(mln::accu::meta::stat::histo1d(), map); + sum = sum_frequency_histo(histo); + histo_float = mln::data::convert(float(), histo) / sum; + prop4 = cmp_equi_frequency_histo(histo_float); + peak = peak_histo(histo); // mean_histo(histo); + //prop = stddev2(histo, peak, threshold); + inf = mln::point1d(mln::math::max(0, peak-threshold)); + sup = mln::point1d(mln::math::min(255, peak+threshold)); + cnt1 = count_histo(histo_float|mln::box1d(inf,sup)); + cnt2 = count_histo(histo_float); + prop = ((100.0 * cnt1) / cnt2); + + std::cerr << "peak = " << peak << std::endl; + std::cerr << "inf = " << inf << std::endl; + std::cerr << "sup = " << sup << std::endl; + std::cerr << "cnt1 = " << cnt1 << std::endl; + std::cerr << "cnt2 = " << cnt2 << std::endl; + std::cerr << "prop = " << prop << std::endl; + std::cerr << "prop4= " << prop4 << std::endl; + + mln::io::plot::save_image_sh(histo_float, output.c_str()); + mln::io::pgm::save(map, tmp.c_str()); + + return prop; +} + +//============================================================================// +// MAIN +//============================================================================// + + +int main() +{ + typedef boost::filesystem::path t_path; + typedef boost::filesystem::directory_iterator t_iter_path; + +// t_path full_path[] = {t_path(ICDAR_20P_TEXT_ONLY_IMG_PATH), +// t_path(ICDAR_20P_TEXT_COLOR_IMG_PATH), +// t_path(ICDAR_20P_TEXT_PHOTO_IMG_PATH)}; + + t_path full_path[] = {t_path(AFP_PPM_IMG_PATH)}; + + std::cout << "#!/usr/bin/gnuplot" << std::endl; + std::cout << "set terminal x11 persist 1" << std::endl; + std::cout << "#HUE - SATURATION - VALUE" << std::endl; + std::cout << "plot '-' using 1:2 with point notitle,\\" << std::endl; + std::cout << " '-' using 1:2 with point notitle,\\" << std::endl; + std::cout << " '-' using 1:2 with point notitle" << std::endl; + + for (int i = 0; i < 1; ++i) + { + if (boost::filesystem::exists(full_path[i]) && + boost::filesystem::is_directory(full_path[i])) + { + boost::filesystem::system_complete(full_path[i]); + const t_iter_path end_iter; + float prop = 0.0; + t_path directory; + t_path leaf; + t_path output; + t_path tmp; + + std::cerr << "entering " << full_path[i] << std::endl; + + for (t_iter_path dir_iter(full_path[i]); end_iter != dir_iter; ++dir_iter) + { + std::cerr << dir_iter->path() << std::endl; + // concatenation de chaine +// directory = (ANNOTATING_ICDAR_HUE_RET_PATH); + directory = (ANNOTATING_AFP_HUE_RET_PATH); + leaf = dir_iter->path().leaf(); + output = change_extension(directory / leaf, ".sh"); + tmp = change_extension(directory / leaf, ".pgm"); + + prop = hue_test(dir_iter->path().string(), + output.string(), + tmp.string(), + 20); + + std::cout << prop << " "; + +// directory = (ANNOTATING_ICDAR_SAT_RET_PATH); + directory = (ANNOTATING_AFP_SAT_RET_PATH); + leaf = dir_iter->path().leaf(); + output = change_extension(directory / leaf, ".sh"); + tmp = change_extension(directory / leaf, ".pgm"); + + prop = saturation_test(dir_iter->path().string(), + output.string(), + tmp.string(), + 25); + + std::cout << prop << " "; + +// directory = (ANNOTATING_ICDAR_VAL_RET_PATH); + directory = (ANNOTATING_AFP_VAL_RET_PATH); + leaf = dir_iter->path().leaf(); + output = change_extension(directory / leaf, ".sh"); + tmp = change_extension(directory / leaf, ".pgm"); + + prop = value_test(dir_iter->path().string(), + output.string(), + tmp.string(), + 15); + + std::cout << prop << " "; + std::cout << "# " << dir_iter->path().leaf() << std::endl; + } + std::cout << "e" << std::endl; + } + } + + return 0; +} -- 1.5.6.5

14 years, 2 months

last-svn-commit-34-gb17f057 Work on Millet saturation descriptor.

by Yann Jacquelet

* green/exp/annotating/saturation: New directory. * green/exp/annotating/saturation/Makefile.am: New Makefile. * green/exp/annotating/saturation/saturation.cc: New source file. --- milena/sandbox/ChangeLog | 14 ++++++++- .../{achromastism => saturation}/Makefile.am | 0 .../achromastism.cc => saturation/saturation.cc} | 30 ++++++++++++-------- .../{achromastism => saturation}/text-color.txt | 0 .../{achromastism => saturation}/text-img.txt | 0 .../{achromastism => saturation}/text-only.txt | 0 6 files changed, 31 insertions(+), 13 deletions(-) copy milena/sandbox/green/exp/annotating/{achromastism => saturation}/Makefile.am (100%) copy milena/sandbox/green/exp/annotating/{achromastism/achromastism.cc => saturation/saturation.cc} (75%) copy milena/sandbox/green/exp/annotating/{achromastism => saturation}/text-color.txt (100%) copy milena/sandbox/green/exp/annotating/{achromastism => saturation}/text-img.txt (100%) copy milena/sandbox/green/exp/annotating/{achromastism => saturation}/text-only.txt (100%) diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index 0e7ac9c..15c6c4b 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -1,9 +1,21 @@ 2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Work on Millet saturation descriptor. + + * green/exp/annotating/saturation: New directory. + * green/exp/annotating/saturation/Makefile.am: New Makefile. + * green/exp/annotating/saturation/saturation.cc: New source file. + * green/exp/annotating/saturation/text-color.txt: New image class. + * green/exp/annotating/saturation/text-img.txt: New image class. + * green/exp/annotating/saturation/text-only.txt: New image class. + + +2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Work on Millet hsv descriptors. * green/exp/annotating/hsv: New directory. - * green/Exp/annotating/hsv/hsv.cc: New source file. + * green/exp/annotating/hsv/hsv.cc: New source file. 2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> diff --git a/milena/sandbox/green/exp/annotating/achromastism/Makefile.am b/milena/sandbox/green/exp/annotating/saturation/Makefile.am similarity index 100% copy from milena/sandbox/green/exp/annotating/achromastism/Makefile.am copy to milena/sandbox/green/exp/annotating/saturation/Makefile.am diff --git a/milena/sandbox/green/exp/annotating/achromastism/achromastism.cc b/milena/sandbox/green/exp/annotating/saturation/saturation.cc similarity index 75% copy from milena/sandbox/green/exp/annotating/achromastism/achromastism.cc copy to milena/sandbox/green/exp/annotating/saturation/saturation.cc index fdb8e6d..3eb27a4 100644 --- a/milena/sandbox/green/exp/annotating/achromastism/achromastism.cc +++ b/milena/sandbox/green/exp/annotating/saturation/saturation.cc @@ -1,4 +1,4 @@ -// ACHROMATISM TEST CF MILLET 2008 +// SATURATION TEST CF MILLET 2008 #include <iostream> #include <sstream> @@ -21,9 +21,10 @@ #include <mln/geom/nsites.hh> -#include <mln/fun/v2v/rgb_to_achromatism_map.hh> +#include <mln/fun/v2v/rgb_to_saturation_map.hh> #include <mln/io/ppm/load.hh> +//#include <mln/io/pgm/save.hh> #include <mln/io/plot/save_image_sh.hh> #include <mln/value/rgb8.hh> @@ -45,12 +46,14 @@ unsigned count_histo(const mln::Image& img_) return result; } -float achromatism_test(const std::string input, - const std::string output, - const unsigned threshold) + +float saturation_test(const std::string input, + const std::string output, +// const std::string tmp, + const unsigned threshold) { - typedef mln::fun::v2v::rgb_to_achromatism_map<8> t_rgb_to_achromatism_map; + typedef mln::fun::v2v::rgb_to_saturation_map<8> t_rgb_to_saturation_map; mln::image2d<mln::value::rgb8> input_rgb8; mln::image2d<mln::value::int_u8> map; @@ -61,7 +64,7 @@ float achromatism_test(const std::string input, mln::io::ppm::load(input_rgb8, input.c_str()); - map = mln::data::transform(input_rgb8, t_rgb_to_achromatism_map()); + map = mln::data::transform(input_rgb8, t_rgb_to_saturation_map()); histo = mln::data::compute(mln::accu::meta::stat::histo1d(), map); cnt1 = count_histo(histo | mln::box1d(mln::point1d(0), mln::point1d(threshold))); @@ -69,6 +72,7 @@ float achromatism_test(const std::string input, prop = ((100.0 * cnt1) / cnt2); mln::io::plot::save_image_sh(histo, output.c_str()); +// mln::io::pgm::save(map, tmp.c_str()); return prop; } @@ -95,13 +99,15 @@ int main() for (t_iter_path dir_iter(full_path[i]); end_iter != dir_iter; ++dir_iter) { // concatenation de chaine - t_path directory(ANNOTATING_ACHROMATISM_RET_PATH); - t_path leaf = dir_iter->path().leaf(); + t_path directory(ANNOTATING_SATURATION_RET_PATH); + t_path leaf = dir_iter->path().leaf(); t_path output = change_extension(directory / leaf, ".sh"); + t_path tmp = change_extension(directory / leaf, ".pgm"); - prop = achromatism_test(dir_iter->path().string(), - output.string(), - 11); + prop = saturation_test(dir_iter->path().string(), + output.string(), +// tmp.string(), + 25); std::cout << output << " : " << prop << std::endl; std::cerr << output << " : " << prop << std::endl; diff --git a/milena/sandbox/green/exp/annotating/achromastism/text-color.txt b/milena/sandbox/green/exp/annotating/saturation/text-color.txt similarity index 100% copy from milena/sandbox/green/exp/annotating/achromastism/text-color.txt copy to milena/sandbox/green/exp/annotating/saturation/text-color.txt diff --git a/milena/sandbox/green/exp/annotating/achromastism/text-img.txt b/milena/sandbox/green/exp/annotating/saturation/text-img.txt similarity index 100% copy from milena/sandbox/green/exp/annotating/achromastism/text-img.txt copy to milena/sandbox/green/exp/annotating/saturation/text-img.txt diff --git a/milena/sandbox/green/exp/annotating/achromastism/text-only.txt b/milena/sandbox/green/exp/annotating/saturation/text-only.txt similarity index 100% copy from milena/sandbox/green/exp/annotating/achromastism/text-only.txt copy to milena/sandbox/green/exp/annotating/saturation/text-only.txt -- 1.5.6.5

14 years, 2 months

last-svn-commit-35-g40d7890 Work on Millet saturation descriptor.

by Yann Jacquelet

* green/exp/annotating/hue: New directory. * green/exp/annotating/hue/Makefile.am: New Makefile. * green/exp/annotating/hue/hue.cc: New source file. * green/exp/annotating/hue/text-color.txt: New image class. * green/exp/annotating/hue/text-img.txt: New image class. * green/exp/annotating/hue/text-only.txt: New image class. --- milena/sandbox/ChangeLog | 11 + .../annotating/{achromastism => hue}/Makefile.am | 0 milena/sandbox/green/exp/annotating/hue/hue.cc | 291 ++++++++++++++++++++ .../{achromastism => hue}/text-color.txt | 0 .../annotating/{achromastism => hue}/text-img.txt | 0 .../annotating/{achromastism => hue}/text-only.txt | 0 6 files changed, 302 insertions(+), 0 deletions(-) copy milena/sandbox/green/exp/annotating/{achromastism => hue}/Makefile.am (100%) create mode 100644 milena/sandbox/green/exp/annotating/hue/hue.cc copy milena/sandbox/green/exp/annotating/{achromastism => hue}/text-color.txt (100%) copy milena/sandbox/green/exp/annotating/{achromastism => hue}/text-img.txt (100%) copy milena/sandbox/green/exp/annotating/{achromastism => hue}/text-only.txt (100%) diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index 15c6c4b..c41ef7c 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -2,6 +2,17 @@ Work on Millet saturation descriptor. + * green/exp/annotating/hue: New directory. + * green/exp/annotating/hue/Makefile.am: New Makefile. + * green/exp/annotating/hue/hue.cc: New source file. + * green/exp/annotating/hue/text-color.txt: New image class. + * green/exp/annotating/hue/text-img.txt: New image class. + * green/exp/annotating/hue/text-only.txt: New image class. + +2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + + Work on Millet saturation descriptor. + * green/exp/annotating/saturation: New directory. * green/exp/annotating/saturation/Makefile.am: New Makefile. * green/exp/annotating/saturation/saturation.cc: New source file. diff --git a/milena/sandbox/green/exp/annotating/achromastism/Makefile.am b/milena/sandbox/green/exp/annotating/hue/Makefile.am similarity index 100% copy from milena/sandbox/green/exp/annotating/achromastism/Makefile.am copy to milena/sandbox/green/exp/annotating/hue/Makefile.am diff --git a/milena/sandbox/green/exp/annotating/hue/hue.cc b/milena/sandbox/green/exp/annotating/hue/hue.cc new file mode 100644 index 0000000..883e1c6 --- /dev/null +++ b/milena/sandbox/green/exp/annotating/hue/hue.cc @@ -0,0 +1,291 @@ +// SATURATION TEST CF MILLET 2008 + +#include <iostream> +#include <sstream> +#include <boost/filesystem.hpp> + +#include <mln/img_path.hh> + +#include <mln/accu/stat/histo1d.hh> + +#include <mln/core/image/image1d.hh> +#include <mln/core/image/image2d.hh> +#include <mln/core/image/dmorph/image_if.hh> + +#include <mln/data/compute.hh> +#include <mln/data/stretch.hh> +#include <mln/data/transform.hh> + +#include <mln/literal/colors.hh> +#include <mln/literal/grays.hh> + +#include <mln/math/max.hh> +#include <mln/math/min.hh> + +#include <mln/opt/at.hh> + +#include <mln/geom/nsites.hh> + +#include <mln/fun/v2v/rgb_to_hue_map.hh> + +#include <mln/io/ppm/load.hh> +#include <mln/io/pgm/save.hh> +#include <mln/io/plot/save_image_sh.hh> + +#include <mln/value/rgb8.hh> + +mln::value::rgb8 label_val(const mln::value::int_u8 val) +{ + mln::value::rgb8 result; + + if (82 > val) + result = mln::literal::black; + else if (179 > val) + result= mln::literal::medium_gray; + else + result = mln::literal::white; + + return result; +} + + +mln::value::rgb8 label_orange_or_brown(const mln::value::rgb8 color, + const mln::value::int_u8 sat, + const mln::value::int_u8 val) +{ + mln::value::rgb8 result; + + if (mln::literal::orange == color) + { + unsigned dist_orange = mln::math::abs(sat - 184) + + mln::math::abs(val - 65); + + unsigned dist_brown = mln::math::abs(sat - 255) + + mln::math::abs(val - 125); + + if (dist_orange < dist_brown) + result = mln::literal::orange; + else + result = mln::literal::brown; + } + else + result = color; + + return result; +} + +mln::value::rgb8 label_yellow_or_green(const mln::value::rgb8 color, + const mln::value::int_u8 val) +{ + mln::value::rgb8 result; + + if (mln::literal::yellow == color) + { + // Is it green or yellow ? + if (80 > val) + result = mln::literal::green; + else + result = mln::literal::yellow; + } + else + return color; + + return result; +} + +mln::value::rgb8 label_hue(const mln::value::int_u8 hue) +{ + mln::value::rgb8 result; + + + if (10 > hue) + result = mln::literal::red; + else if (32 > hue) + result = mln::literal::orange; + else if (53 > hue) + result = mln::literal::yellow; + else if (74 > hue) + result = mln::literal::green; // chartreuse + else if (96 > hue) + result = mln::literal::green; + else if (116 > hue) + result = mln::literal::green;// turquoise, aigue-marine + else if (138 > hue) + result = mln::literal::green; // cyan + else if (159 > hue) + result = mln::literal::blue; // azur + else if (181 > hue) + result = mln::literal::blue; + else if (202 > hue) + result = mln::literal::violet; + else if (223 > hue) + result = mln::literal::pink; + else // if (244 > hue) + result = mln::literal::red; + + +// if (14 > hue) +// result = mln::literal::red; +// else if (29 > hue) +// result = mln::literal::orange; +// else if (45 > hue) +// result = mln::literal::yellow; +// else if (113 > hue) +// result = mln::literal::green; +// else if (149 > hue) +// result = mln::literal::cyan; +// else if (205 > hue) +// result = mln::literal::blue; +// else if (235 > hue) +// result = mln::literal::violet; +// else if (242 > hue) +// result = mln::literal::pink; +// else +// result = mln::literal::red; + + return result; +} + +template <typename I> +unsigned count_histo(const mln::Image& img_) +{ + const I& img = exact(img_); + + mln_precondition(img.is_valid()); + + unsigned result = 0; + + mln_piter(I) p(img.domain()); + + for_all(p) + result += img(p); + + return result; +} + +template <typename I> +unsigned peak_histo(const mln::Image& histo_) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + // Find the peak of the histogram + unsigned v_max = mln::opt::at(histo, 0); + short p_max = 0; + + mln_piter(I) p(histo.domain()); + + for_all(p) + { + if (v_max < histo(p)) + { + v_max = histo(p); + p_max = p.ind(); + } + } + + return p_max; +} + +template <typename I> +unsigned mean_histo(const mln::Image& histo_) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + // Find the mean of the histogram + float sum = 0; + float mean = 0; + + mln_piter(I) p(histo.domain()); + + for_all(p) + { + sum += histo(p); + mean += p.ind()*histo(p); + } + + mean = mean / sum; + + return mean; +} + + +float hue_test(const std::string input, + const std::string output, + const std::string tmp, + const unsigned threshold) + +{ + typedef mln::fun::v2v::rgb_to_hue_map<8> t_rgb_to_hue_map; + + mln::image2d<mln::value::rgb8> input_rgb8; + mln::image2d<mln::value::int_u8> map; + mln::image1d<unsigned> histo; + unsigned cnt1; + unsigned cnt2; + float prop; + unsigned peak; + mln::value::rgb8 color; + + mln::io::ppm::load(input_rgb8, input.c_str()); + + map = mln::data::transform(input_rgb8, t_rgb_to_hue_map()); + histo = mln::data::compute(mln::accu::meta::stat::histo1d(), map); + peak = mean_histo(histo); //peak_histo(histo); + color = label_hue(peak); + cnt1 = count_histo(histo | mln::box1d(mln::point1d(peak-threshold), + mln::point1d(peak+threshold))); + cnt2 = mln::geom::nsites(input_rgb8); + prop = ((100.0 * cnt1) / cnt2); + + mln::io::plot::save_image_sh(histo, output.c_str()); + mln::io::pgm::save(map, tmp.c_str()); + std::cout << "peak = " << peak << std::endl; + std::cout << "color = " << color << std::endl; + + return prop; +} + + +int main() +{ + typedef boost::filesystem::path t_path; + typedef boost::filesystem::directory_iterator t_iter_path; + + t_path full_path[] = {t_path(ICDAR_20P_PPM_IMG_PATH)}; + + for (int i = 0; i < 1; ++i) + { + std::cout << "entering " << full_path[i] << std::endl; + + if (boost::filesystem::exists(full_path[i]) && + boost::filesystem::is_directory(full_path[i])) + { + boost::filesystem::system_complete(full_path[i]); + const t_iter_path end_iter; + float prop = 0.0; + + for (t_iter_path dir_iter(full_path[i]); end_iter != dir_iter; ++dir_iter) + { + // concatenation de chaine + t_path directory(ANNOTATING_HUE_RET_PATH); + t_path leaf = dir_iter->path().leaf(); + t_path output = change_extension(directory / leaf, ".sh"); + t_path tmp = change_extension(directory / leaf, ".pgm"); + + prop = hue_test(dir_iter->path().string(), + output.string(), + tmp.string(), + 20); + + std::cout << output << " : " << prop << std::endl; + std::cerr << output << " : " << prop << std::endl; + } + } + } + + return 0; +} diff --git a/milena/sandbox/green/exp/annotating/achromastism/text-color.txt b/milena/sandbox/green/exp/annotating/hue/text-color.txt similarity index 100% copy from milena/sandbox/green/exp/annotating/achromastism/text-color.txt copy to milena/sandbox/green/exp/annotating/hue/text-color.txt diff --git a/milena/sandbox/green/exp/annotating/achromastism/text-img.txt b/milena/sandbox/green/exp/annotating/hue/text-img.txt similarity index 100% copy from milena/sandbox/green/exp/annotating/achromastism/text-img.txt copy to milena/sandbox/green/exp/annotating/hue/text-img.txt diff --git a/milena/sandbox/green/exp/annotating/achromastism/text-only.txt b/milena/sandbox/green/exp/annotating/hue/text-only.txt similarity index 100% copy from milena/sandbox/green/exp/annotating/achromastism/text-only.txt copy to milena/sandbox/green/exp/annotating/hue/text-only.txt -- 1.5.6.5

14 years, 2 months

last-svn-commit-36-gcf874ab Work on Millet value descriptor.

by Yann Jacquelet

* green/exp/annotating/value: New directory. * green/exp/annotating/value/Makefile.am: New Makefile. * green/exp/annotating/value/value.cc: New source file. * green/exp/annotating/value/text-color.txt: New image class. * green/exp/annotating/value/text-img.txt: New image class. * green/exp/annotating/value/text-only.txt: New image class. --- .../annotating/{achromastism => value}/Makefile.am | 0 .../{achromastism => value}/text-color.txt | 0 .../{achromastism => value}/text-img.txt | 0 .../{achromastism => value}/text-only.txt | 0 .../exp/annotating/{hue/hue.cc => value/value.cc} | 143 ++++++++++++-------- 5 files changed, 84 insertions(+), 59 deletions(-) copy milena/sandbox/green/exp/annotating/{achromastism => value}/Makefile.am (100%) copy milena/sandbox/green/exp/annotating/{achromastism => value}/text-color.txt (100%) copy milena/sandbox/green/exp/annotating/{achromastism => value}/text-img.txt (100%) copy milena/sandbox/green/exp/annotating/{achromastism => value}/text-only.txt (100%) copy milena/sandbox/green/exp/annotating/{hue/hue.cc => value/value.cc} (68%) diff --git a/milena/sandbox/green/exp/annotating/achromastism/Makefile.am b/milena/sandbox/green/exp/annotating/value/Makefile.am similarity index 100% copy from milena/sandbox/green/exp/annotating/achromastism/Makefile.am copy to milena/sandbox/green/exp/annotating/value/Makefile.am diff --git a/milena/sandbox/green/exp/annotating/achromastism/text-color.txt b/milena/sandbox/green/exp/annotating/value/text-color.txt similarity index 100% copy from milena/sandbox/green/exp/annotating/achromastism/text-color.txt copy to milena/sandbox/green/exp/annotating/value/text-color.txt diff --git a/milena/sandbox/green/exp/annotating/achromastism/text-img.txt b/milena/sandbox/green/exp/annotating/value/text-img.txt similarity index 100% copy from milena/sandbox/green/exp/annotating/achromastism/text-img.txt copy to milena/sandbox/green/exp/annotating/value/text-img.txt diff --git a/milena/sandbox/green/exp/annotating/achromastism/text-only.txt b/milena/sandbox/green/exp/annotating/value/text-only.txt similarity index 100% copy from milena/sandbox/green/exp/annotating/achromastism/text-only.txt copy to milena/sandbox/green/exp/annotating/value/text-only.txt diff --git a/milena/sandbox/green/exp/annotating/hue/hue.cc b/milena/sandbox/green/exp/annotating/value/value.cc similarity index 68% copy from milena/sandbox/green/exp/annotating/hue/hue.cc copy to milena/sandbox/green/exp/annotating/value/value.cc index 883e1c6..9209d47 100644 --- a/milena/sandbox/green/exp/annotating/hue/hue.cc +++ b/milena/sandbox/green/exp/annotating/value/value.cc @@ -1,4 +1,4 @@ -// SATURATION TEST CF MILLET 2008 +// VALUE TEST CF MILLET 2008 #include <iostream> #include <sstream> @@ -26,7 +26,7 @@ #include <mln/geom/nsites.hh> -#include <mln/fun/v2v/rgb_to_hue_map.hh> +#include <mln/fun/v2v/rgb_to_value_map.hh> #include <mln/io/ppm/load.hh> #include <mln/io/pgm/save.hh> @@ -97,52 +97,25 @@ mln::value::rgb8 label_hue(const mln::value::int_u8 hue) { mln::value::rgb8 result; - - if (10 > hue) + if (14 > hue) result = mln::literal::red; - else if (32 > hue) + else if (29 > hue) result = mln::literal::orange; - else if (53 > hue) + else if (45 > hue) result = mln::literal::yellow; - else if (74 > hue) - result = mln::literal::green; // chartreuse - else if (96 > hue) + else if (113 > hue) result = mln::literal::green; - else if (116 > hue) - result = mln::literal::green;// turquoise, aigue-marine - else if (138 > hue) - result = mln::literal::green; // cyan - else if (159 > hue) - result = mln::literal::blue; // azur - else if (181 > hue) + else if (149 > hue) + result = mln::literal::cyan; + else if (205 > hue) result = mln::literal::blue; - else if (202 > hue) + else if (235 > hue) result = mln::literal::violet; - else if (223 > hue) + else if (242 > hue) result = mln::literal::pink; - else // if (244 > hue) + else result = mln::literal::red; - -// if (14 > hue) -// result = mln::literal::red; -// else if (29 > hue) -// result = mln::literal::orange; -// else if (45 > hue) -// result = mln::literal::yellow; -// else if (113 > hue) -// result = mln::literal::green; -// else if (149 > hue) -// result = mln::literal::cyan; -// else if (205 > hue) -// result = mln::literal::blue; -// else if (235 > hue) -// result = mln::literal::violet; -// else if (242 > hue) -// result = mln::literal::pink; -// else -// result = mln::literal::red; - return result; } @@ -212,14 +185,69 @@ unsigned mean_histo(const mln::Image& histo_) return mean; } +// calcul de contribution +float r(short p, unsigned histo_p, short x, unsigned histo_x) +{ + float result = mln::math::sqr(((float)histo_x / histo_p) * (x-p)); + + return result; +} + +template <typename I> +float stddev3(const mln::Image& histo_, unsigned peak) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + // Compute stddev + + float stddev = 0.0; + + mln_piter(I) p(histo.domain()); + + for_all(p) + { + stddev += r((short)peak, mln::opt::at(histo,peak), p.ind(), histo(p)); + } + + return stddev; +} + +template <typename I> +float stddev2(const mln::Image& histo_, unsigned peak, unsigned limit) +{ + const I& histo = exact(histo_); + + mln_precondition(histo.is_valid()); + + float stddev_low = 0.0; + float stddev_up = 0.0; + float ret = 0.0; + + // A transformer avec des iterators + + if (250 > peak) + stddev_up = stddev3(histo |mln::box1d(mln::point1d(peak+1), + mln::point1d(peak+limit)), peak); + + if (5 < peak) + stddev_low = stddev3(histo |mln::box1d(mln::point1d(peak-limit), + mln::point1d(peak-1)), peak); + + ret = (250 < peak)? stddev_low : (5 > peak)? stddev_up : + (stddev_low + stddev_up)/2; + + return ret; +} -float hue_test(const std::string input, - const std::string output, - const std::string tmp, - const unsigned threshold) +float value_test(const std::string input, + const std::string output, + const std::string tmp, + const unsigned threshold) { - typedef mln::fun::v2v::rgb_to_hue_map<8> t_rgb_to_hue_map; + typedef mln::fun::v2v::rgb_to_value_map<8> t_rgb_to_value_map; mln::image2d<mln::value::rgb8> input_rgb8; mln::image2d<mln::value::int_u8> map; @@ -228,23 +256,20 @@ float hue_test(const std::string input, unsigned cnt2; float prop; unsigned peak; - mln::value::rgb8 color; mln::io::ppm::load(input_rgb8, input.c_str()); - map = mln::data::transform(input_rgb8, t_rgb_to_hue_map()); + map = mln::data::transform(input_rgb8, t_rgb_to_value_map()); histo = mln::data::compute(mln::accu::meta::stat::histo1d(), map); - peak = mean_histo(histo); //peak_histo(histo); - color = label_hue(peak); - cnt1 = count_histo(histo | mln::box1d(mln::point1d(peak-threshold), - mln::point1d(peak+threshold))); - cnt2 = mln::geom::nsites(input_rgb8); - prop = ((100.0 * cnt1) / cnt2); + peak = peak_histo(histo); // mean_histo(histo); + prop = stddev2(histo, peak, limit); +// cnt1 = count_histo(histo | mln::box1d(mln::point1d(peak-threshold), +// mln::point1d(peak+threshold))); +// cnt2 = mln::geom::nsites(input_rgb8); +// prop = ((100.0 * cnt1) / cnt2); mln::io::plot::save_image_sh(histo, output.c_str()); mln::io::pgm::save(map, tmp.c_str()); - std::cout << "peak = " << peak << std::endl; - std::cout << "color = " << color << std::endl; return prop; } @@ -271,15 +296,15 @@ int main() for (t_iter_path dir_iter(full_path[i]); end_iter != dir_iter; ++dir_iter) { // concatenation de chaine - t_path directory(ANNOTATING_HUE_RET_PATH); + t_path directory(ANNOTATING_VALUE_RET_PATH); t_path leaf = dir_iter->path().leaf(); t_path output = change_extension(directory / leaf, ".sh"); t_path tmp = change_extension(directory / leaf, ".pgm"); - prop = hue_test(dir_iter->path().string(), - output.string(), - tmp.string(), - 20); + prop = value_test(dir_iter->path().string(), + output.string(), + tmp.string(), + 15); std::cout << output << " : " << prop << std::endl; std::cerr << output << " : " << prop << std::endl; -- 1.5.6.5

14 years, 2 months

last-svn-commit-37-ga7832fe Add milena library components.

by Yann Jacquelet

* green/mln/accu/stat/histo1d.hh: New header component. * green/mln/fun/p2b/achromatic.hh: New header component. * green/mln/fun/p2b/component_equals.hh: New header component. * green/mln/fun/v2v/achromatism.hh: New header component. * green/mln/fun/v2v/hue_concentration.hh: New header component. * green/mln/fun/v2v/rgb_to_achromatism_map.hh: New header component. * green/mln/fun/v2v/rgb_to_hsv.hh: New header component. * green/mln/fun/v2v/rgb_to_hue_map.hh: New header component. * green/mln/fun/v2v/rgb_to_saturation_map.hh: New header component. * green/mln/fun/v2v/rgb_to_value_map.hh: New header component. * green/mln/img_path.hh: New header component. * green/mln/math/ceil.hh: New header component. * green/mln/math/floor.hh: New header component. * green/mln/math/hsv.hh: New header component. --- milena/sandbox/ChangeLog | 32 ++- milena/sandbox/green/mln/accu/stat/histo1d.hh | 66 ++-- milena/sandbox/green/mln/fun/p2b/achromatic.hh | 112 +++++ .../sandbox/green/mln/fun/p2b/component_equals.hh | 99 +++++ milena/sandbox/green/mln/fun/v2v/achromatism.hh | 64 +++ .../sandbox/green/mln/fun/v2v/hue_concentration.hh | 100 +++++ .../green/mln/fun/v2v/rgb_to_achromatism_map.hh | 77 ++++ milena/sandbox/green/mln/fun/v2v/rgb_to_hsv.hh | 149 +++++++ milena/sandbox/green/mln/fun/v2v/rgb_to_hue_map.hh | 96 +++++ .../green/mln/fun/v2v/rgb_to_saturation_map.hh | 83 ++++ .../sandbox/green/mln/fun/v2v/rgb_to_value_map.hh | 75 ++++ milena/sandbox/green/mln/img_path.hh | 227 +++++++++-- milena/sandbox/green/mln/math/ceil.hh | 64 +++ milena/sandbox/green/mln/math/floor.hh | 64 +++ milena/sandbox/green/mln/value/hsv.hh | 424 ++++++++++++++++++++ 15 files changed, 1670 insertions(+), 62 deletions(-) create mode 100644 milena/sandbox/green/mln/fun/p2b/achromatic.hh create mode 100644 milena/sandbox/green/mln/fun/p2b/component_equals.hh create mode 100644 milena/sandbox/green/mln/fun/v2v/achromatism.hh create mode 100644 milena/sandbox/green/mln/fun/v2v/hue_concentration.hh create mode 100644 milena/sandbox/green/mln/fun/v2v/rgb_to_achromatism_map.hh create mode 100644 milena/sandbox/green/mln/fun/v2v/rgb_to_hsv.hh create mode 100644 milena/sandbox/green/mln/fun/v2v/rgb_to_hue_map.hh create mode 100644 milena/sandbox/green/mln/fun/v2v/rgb_to_saturation_map.hh create mode 100644 milena/sandbox/green/mln/fun/v2v/rgb_to_value_map.hh create mode 100644 milena/sandbox/green/mln/math/ceil.hh create mode 100644 milena/sandbox/green/mln/math/floor.hh create mode 100644 milena/sandbox/green/mln/value/hsv.hh diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index c41ef7c..62c6e21 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -1,6 +1,36 @@ 2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> - Work on Millet saturation descriptor. + Add milena library components. + + * green/mln/accu/stat/histo1d.hh: New header component. + * green/mln/fun/p2b/achromatic.hh: New header component. + * green/mln/fun/p2b/component_equals.hh: New header component. + * green/mln/fun/v2v/achromatism.hh: New header component. + * green/mln/fun/v2v/hue_concentration.hh: New header component. + * green/mln/fun/v2v/rgb_to_achromatism_map.hh: New header component. + * green/mln/fun/v2v/rgb_to_hsv.hh: New header component. + * green/mln/fun/v2v/rgb_to_hue_map.hh: New header component. + * green/mln/fun/v2v/rgb_to_saturation_map.hh: New header component. + * green/mln/fun/v2v/rgb_to_value_map.hh: New header component. + * green/mln/img_path.hh: New header component. + * green/mln/math/ceil.hh: New header component. + * green/mln/math/floor.hh: New header component. + * green/mln/math/hsv.hh: New header component. + +2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + + Work on Millet value descriptor. + + * green/exp/annotating/value: New directory. + * green/exp/annotating/value/Makefile.am: New Makefile. + * green/exp/annotating/value/value.cc: New source file. + * green/exp/annotating/value/text-color.txt: New image class. + * green/exp/annotating/value/text-img.txt: New image class. + * green/exp/annotating/value/text-only.txt: New image class. + +2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + + Work on Millet hue descriptor. * green/exp/annotating/hue: New directory. * green/exp/annotating/hue/Makefile.am: New Makefile. diff --git a/milena/sandbox/green/mln/accu/stat/histo1d.hh b/milena/sandbox/green/mln/accu/stat/histo1d.hh index 807f3bd..57d6103 100644 --- a/milena/sandbox/green/mln/accu/stat/histo1d.hh +++ b/milena/sandbox/green/mln/accu/stat/histo1d.hh @@ -76,26 +76,26 @@ namespace mln { - + namespace accu { - + namespace stat { - + // Forward declaration template <typename V> struct histo1d; } // end of namespace mln::accu::stat - + namespace meta { - + namespace stat { - + struct histo1d : public Meta_Accumulator<histo1d> { template <typename V> @@ -104,16 +104,16 @@ namespace mln typedef accu::stat::histo1d<V> ret; }; }; - + } // end of namespace mln::accu::meta::stat - + } // end of namespace mln::accu::meta - + } // end of namespace mln::accu namespace trait { - + template <typename V> struct accumulator_< mln::accu::stat::histo1d<V> > { @@ -124,34 +124,34 @@ namespace mln }; template <typename V> - struct set_precise_binary_<op::eq, + struct set_precise_binary_<op::eq, accu::stat::histo1d<V>, accu::stat::histo1d<V> > { typedef bool ret; }; - + } // end of namespace mln::trait namespace accu { - + namespace stat - { + { - /// \brief Define an histogram which returns an image1d . + /// \brief Define an histogram which returns an image1d . /// /// Param V defines the space in which we count the values. /// For instance, this histogram works with image2d<int_u8> or with /// image1d<int_u<14> >. The histogram count the occurrence of each value. /// The number of bins depends of the graylevel values, for 8 bits there - /// is 256 bins, for 14 bits there is 16384 bins. Note that over + /// is 256 bins, for 14 bits there is 16384 bins. Note that over /// quantification works too (up to 14 bits). /// /// \ingroup modaccuvalues template <typename V> - struct histo1d : + struct histo1d : public mln::accu::internal::base<image1d<unsigned>, histo1d<V> > { typedef V argument; @@ -162,22 +162,22 @@ namespace mln /// \{ /// \brief Initialize the size of the resulting image1d. /// - /// Initialize the size the resulting image from the theorical dynamic + /// Initialize the size the resulting image from the theorical dynamic /// of the graylevel values (Use V to manage it). histo1d(); /// \} - + /// Manipulators. /// \{ /// \brief Initialize the histogram with zero value. /// - /// This method must be called just before starting the use of the - /// histogram. If it's not, resulting values won't converge to the + /// This method must be called just before starting the use of the + /// histogram. If it's not, resulting values won't converge to the /// density. void init(); - + /// \brief Update the histogram with the graylevel of the pixel t. /// \param[in] t a graylevel pixel of type V. /// @@ -189,7 +189,7 @@ namespace mln /// \brief Update the histogram with an other histogram. /// \param[in] other the other histogram. /// - /// The end user shouldn't call this method. This is part of + /// The end user shouldn't call this method. This is part of /// data compute interface mechanism. void take(const histo1d<V>& other); @@ -234,7 +234,7 @@ namespace mln typedef mln_trait_value_comp(V,0) comp; typedef point<grid::tick, V> v_point1d; typedef box<v_point1d> v_box1d; - + // comp keep a trace of the dimension of the theorical image. // mln_min(comp) --> 0 // mln_max(comp) --> 2^(n-1) [127 for n=7][255 for n=8] ... @@ -242,8 +242,8 @@ namespace mln count_.init_(box1d(point1d(mln_min(comp)), point1d(mln_max(comp)))); - // std::cout << "min : " << mln_min(comp) << std::endl; - // std::cout << "max : " << mln_max(comp) << std::endl; +// std::cout << "min : " << mln_min(comp) << std::endl; +// std::cout << "max : " << mln_max(comp) << std::endl; trace::exiting("mln::accu::stat::histo1d<V>::histo1d"); } @@ -264,14 +264,14 @@ namespace mln { trace::entering("mln::accu::stat::histo1d<V>::take"); - // Just convert a graylevel value (int_u8 like) to a position for an + // Just convert a graylevel value (int_u8 like) to a position for an // iterator on the resulting image. ++count_(point1d(t)); trace::exiting("mln::accu::stat::histo1d<V>::take"); } - + template <typename V> inline void histo1d<V>::take(const histo1d<V>& other) @@ -282,7 +282,7 @@ namespace mln trace::exiting("mln::accu::stat::histo1d<V>::take"); } - + template <typename V> inline typename histo1d<V>::result histo1d<V>::to_result() const @@ -292,7 +292,7 @@ namespace mln trace::exiting("mln::accu::stat::histo1d<V>::to_result"); return count_; } - + template <typename V> inline histo1d<V>::operator result() const @@ -301,7 +301,7 @@ namespace mln trace::exiting("mln::accu::stat::histo1d<V>::operator result"); return count_; - } + } template <typename V> inline @@ -309,7 +309,7 @@ namespace mln { trace::entering("mln::accu::stat::histo1d<V>::is_valid"); bool result = count_.is_valid(); - + trace::exiting("mln::accu::stat::histo1d<V>::is_valid"); return result; } @@ -322,7 +322,7 @@ namespace mln bool result = true; const image1d<unsigned>& res1 = histo1.to_result(); const image1d<unsigned>& res2 = histo2.to_result(); - + mln_precondition(res1.is_valid()); mln_precondition(res2.is_valid()); diff --git a/milena/sandbox/green/mln/fun/p2b/achromatic.hh b/milena/sandbox/green/mln/fun/p2b/achromatic.hh new file mode 100644 index 0000000..1f45b2d --- /dev/null +++ b/milena/sandbox/green/mln/fun/p2b/achromatic.hh @@ -0,0 +1,112 @@ +// Copyright (C) 2008, 2009 EPITA Research and Development Laboratory (LRDE) +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_FUN_P2B_ACHROMATIC_HH +# define MLN_FUN_P2B_ACHROMATIC_HH + +/// \file +/// +/// In the vectorial image context (as RGB, HSL, HSV), compare one component +/// to a specific value. + +# include <mln/core/alias/point2d.hh> +# include <mln/core/concept/function.hh> +# include <mln/trait/value/comp.hh> + + +namespace mln +{ + + namespace fun + { + + namespace p2b + { + /// \brief Functor that compare the i-th component of a value. + // V is for the type of the value received + // i is the ith component to select + template <typename T_rgb> + struct achromatic : public Function_v2b< achromatic<T_rgb> > + { + typedef bool result; + bool operator()(const point2d& p) const; + + achromatic(const image2d<T_rgb>& img, const float threshold); + + const float threshold_; + const image2d<T_rgb>& img_; + }; + + +# ifndef MLN_INCLUDE_ONLY + + template <typename T_rgb> + achromatic<T_rgb>::achromatic(const image2d<T_rgb>& img, + const float threshold) + : threshold_(threshold), img_(img) + { + } + + template <typename T_rgb> + bool achromatic<T_rgb>::operator()(const point2d& p) const + { + typedef typename T_rgb::red_t t_red; + typedef typename T_rgb::green_t t_green; + typedef typename T_rgb::blue_t t_blue; + + const T_rgb rgb = img_(p); + + // To obtain red between 0 and 1 + const float max_red = mln_max(t_red); + const float min_red = mln_min(t_red); + const float red = (rgb.red() - min_red)/(max_red - min_red); + + // To obtain green between 0 and 1 + const float max_green = mln_max(t_green); + const float min_green = mln_min(t_green); + const float green = (rgb.green()-min_green)/(max_green-min_green); + + // To obtain blue between 0 and 1 + const float max_blue = mln_max(t_blue); + const float min_blue = mln_min(t_blue); + const float blue = (rgb.blue()-min_blue)/(max_blue-min_blue); + + bool result = (threshold_ > math::abs(red - green) && + threshold_ > math::abs(red - blue) && + threshold_ > math::abs(green - blue)); + + return result; + } + +# endif // ! MLN_INCLUDE_ONLY + + } // end of namespace mln::fun::p2b + + } // end of namespace mln::fun + +} // end of namespace mln + + +#endif // ! MLN_FUN_P2B_ACHROMATIC_HH diff --git a/milena/sandbox/green/mln/fun/p2b/component_equals.hh b/milena/sandbox/green/mln/fun/p2b/component_equals.hh new file mode 100644 index 0000000..2a4c62c --- /dev/null +++ b/milena/sandbox/green/mln/fun/p2b/component_equals.hh @@ -0,0 +1,99 @@ +// Copyright (C) 2008, 2009 EPITA Research and Development Laboratory (LRDE) +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_FUN_P2B_COMPONENT_EQUALS_HH +# define MLN_FUN_P2B_COMPONENT_EQUALS_HH + +/// \file +/// +/// In the vectorial image context (as RGB, HSL, HSV), compare one component +/// to a specific value. + +# include <mln/core/alias/point2d.hh> +# include <mln/core/concept/function.hh> +# include <mln/trait/value/comp.hh> + + +namespace mln +{ + + namespace fun + { + + namespace p2b + { + + /// \brief Functor that compare the i-th component of a value. + // V is for the type of the value received + // i is the ith component to select + template <typename I, unsigned i> + struct component_equals : public Function_v2b< component_equals<I,i> > + { + typedef bool result; + bool operator()(const point2d& p) const; + + component_equals(const I& img, + const mln_trait_value_comp(mln_value(I),i)& ref); + + const mln_trait_value_comp(mln_value(I),i) _ref; + const I& _img; + }; + + +# ifndef MLN_INCLUDE_ONLY + + template <typename I, unsigned i> + inline + component_equals<I,i>:: + component_equals(const I& img, + const mln_trait_value_comp(mln_value(I),i)& ref) + : _ref(ref), _img(img) + { + } + + template <typename I, unsigned i> + inline + bool + component_equals<I,i>::operator()(const point2d& p) const + { + typedef mln_value(I) t_value; + typedef mln_trait_value_comp(t_value,i) mln_value_comp; + + t_value v = _img(p); + mln_value_comp c = trait::value::internal::comp<t_value,i>::on(v); + + return (c == _ref); + } + +# endif // ! MLN_INCLUDE_ONLY + + } // end of namespace mln::fun::p2b + + } // end of namespace mln::fun + +} // end of namespace mln + + +#endif // ! MLN_FUN_P2B_COMPONENT_EQUALS_HH diff --git a/milena/sandbox/green/mln/fun/v2v/achromatism.hh b/milena/sandbox/green/mln/fun/v2v/achromatism.hh new file mode 100644 index 0000000..72b545c --- /dev/null +++ b/milena/sandbox/green/mln/fun/v2v/achromatism.hh @@ -0,0 +1,64 @@ +// Copyright (C) 2008, 2009 EPITA Research and Development Laboratory (LRDE) +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_FUN_V2V_ACHROMATISM_HH +# define MLN_FUN_V2V_ACHROMATISM_HH + +# include <mln/value/rgb8.hh> + +namespace mln +{ + + namespace fun + { + + namespace v2v + { + + struct achromatism : public Function_v2v< achromatism > + { + typedef float result; + + float operator()(const value::rgb8 rgb) const; + }; + +# ifndef MLN_INCLUDE_ONLY + + float achromatism::operator()(const value::rgb8 rgb) const + { + return (math::abs(rgb.red() - rgb.green()) + + math::abs(rgb.red() - rgb.blue()) + + math::abs(rgb.green() - rgb.blue()))/3.0; + } + +# endif // !MLN_INCLUDE_ONLY + + } // end of namespace fun::v2v + + } // end of namespace fun + +} // end of namespace mln + +#endif // ! MLN_FUN_V2V_ACHROMATISM_HH diff --git a/milena/sandbox/green/mln/fun/v2v/hue_concentration.hh b/milena/sandbox/green/mln/fun/v2v/hue_concentration.hh new file mode 100644 index 0000000..84d26c8 --- /dev/null +++ b/milena/sandbox/green/mln/fun/v2v/hue_concentration.hh @@ -0,0 +1,100 @@ +// Copyright (C) 2008, 2009 EPITA Research and Development Laboratory (LRDE) +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_FUN_V2V_HUE_CONCENTRATION_HH +# define MLN_FUN_V2V_HUE_CONCENTRATION_HH + +# include <mln/core/image/image1d.hh> +# include <mln/math/abs.hh> +# include <mln/opt/at.hh> +# include <mln/value/hsv.hh> +# include <mln/value/rgb8.hh> + +namespace mln +{ + + namespace fun + { + + namespace v2v + { + + unsigned peak_histo(const mln::image1d<unsigned>& hue_histo); + + struct hue_concentration : public Function_v2v< hue_concentration > + { + typedef float result; + + float operator()(const float hue) const; + + hue_concentration(const mln::image1d<unsigned>& hue_histo) + { + peak = peak_histo(hue_histo); + } + + unsigned peak; + }; + + +# ifndef MLN_INCLUDE_ONLY + + + unsigned peak_histo(const mln::image1d<unsigned>& hue_histo) + { + mln_precondition(hue_histo.is_valid()); + + // Find the peak of the histogram + unsigned v_max = mln::opt::at(hue_histo, 0); + short p_max = 0; + + mln_piter_(mln::image1d<unsigned>) p(hue_histo.domain()); + + for_all(p) + { + if (v_max < hue_histo(p)) + { + v_max = hue_histo(p); + p_max = p.ind(); + } + } + + return p_max; + } + + + float hue_concentration::operator()(float hue) const + { + return mln::math::abs(peak - hue); + } + +# endif // !MLN_INCLUDE_ONLY + + } // end of namespace fun::v2v + + } // end of namespace fun + +} // end of namespace mln + +#endif // ! MLN_FUN_V2V_HUE_CONCENTRATION_HH diff --git a/milena/sandbox/green/mln/fun/v2v/rgb_to_achromatism_map.hh b/milena/sandbox/green/mln/fun/v2v/rgb_to_achromatism_map.hh new file mode 100644 index 0000000..6de63ec --- /dev/null +++ b/milena/sandbox/green/mln/fun/v2v/rgb_to_achromatism_map.hh @@ -0,0 +1,77 @@ +// Copyright (C) 2007 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2008 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_FUN_V2V_RGB_TO_ACHROMATISM_MAP_HH +# define MLN_FUN_V2V_RGB_TO_ACHROMATISM_MAP_HH + +# include <mln/math/abs.hh> +# include <mln/math/max.hh> + +# include <mln/value/rgb.hh> + + +/// \file +/// +/// \brief Convert rgb value to achromatism map. + +namespace mln +{ + + namespace fun + { + + namespace v2v + { + + /// \brief Convert rgb value to achromatism map. + /// + /// \ingroup modfunv2v + + template <unsigned n> + struct rgb_to_achromatism_map : + Function_v2v< rgb_to_achromatism_map<n> > + { + typedef value::rgb<n> argument; + typedef value::int_u<n> result; + + result operator()(const argument& v) const + { + result max = math::max(math::max(v.red(),v.green()),v.blue()); + result min = math::min(math::min(v.red(),v.green()),v.blue()); + result ret = max - min; + + return ret; + } + }; + + } // end of namespace mln::fun::v2v + + } // end of namespace mln::fun + +} // end of namespace mln + +#endif // ! MLN_FUN_V2V_RGB_TO_ACHROMATISM_MAP_HH diff --git a/milena/sandbox/green/mln/fun/v2v/rgb_to_hsv.hh b/milena/sandbox/green/mln/fun/v2v/rgb_to_hsv.hh new file mode 100644 index 0000000..3dd8eb0 --- /dev/null +++ b/milena/sandbox/green/mln/fun/v2v/rgb_to_hsv.hh @@ -0,0 +1,149 @@ +// Copyright (C) 2008, 2009 EPITA Research and Development Laboratory (LRDE) +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_FUN_V2V_RGB_TO_HSV_HH +# define MLN_FUN_V2V_RGB_TO_HSV_HH + +#include <mln/math/max.hh> +#include <mln/math/min.hh> + +#include <mln/trait/promote.hh> + +#include <mln/value/hsv.hh> +#include <mln/value/rgb.hh> + +namespace mln +{ + + namespace value + { + template <typename H, typename S, typename V> class hsv_; + typedef hsv_<float, float, float> hsv_f; + typedef hsv_<double, double, double> hsv_d; + template <unsigned n> struct rgb; + } + + namespace fun + { + + namespace v2v + { + + template <typename T_hsv> + struct f_rgb_to_hsv_ : public Function_v2v< f_rgb_to_hsv_<T_hsv> > + { + typedef T_hsv result; + + + /// HSV implementation from millet.2008.phd.pdf p67 + template <typename T_rgb> + T_hsv operator()(const T_rgb& rgb) const; + + }; + + typedef f_rgb_to_hsv_<value::hsv_f> f_rgb_to_hsv_f_t; + + extern f_rgb_to_hsv_f_t f_rgb_to_hsv_f; + + +# ifndef MLN_INCLUDE_ONLY + + /// Global variables. + /// \{ + f_rgb_to_hsv_f_t f_rgb_to_hsv_f; + /// \} + + + template <typename T_hsv> + template <typename T_rgb> + inline + T_hsv + f_rgb_to_hsv_<T_hsv>::operator()(const T_rgb& rgb) const + { + typedef typename T_rgb::red_t t_red; + typedef typename T_rgb::green_t t_green; + typedef typename T_rgb::blue_t t_blue; + typedef typename T_hsv::h_type t_hue; + typedef typename T_hsv::s_type t_sat; + typedef typename T_hsv::v_type t_val; + typedef mln_trait_promote(t_hue, t_sat) t_max_hue_sat; + typedef mln_trait_promote(t_max_hue_sat, t_val) t_max_hsv; + + // To obtain red between 0 and 1 + const t_max_hsv max_red = mln_max(t_red); + const t_max_hsv min_red = mln_min(t_red); + const t_max_hsv red = (rgb.red() - min_red)/(max_red - min_red); + + // To obtain green between 0 and 1 + const t_max_hsv max_green = mln_max(t_green); + const t_max_hsv min_green = mln_min(t_green); + const t_max_hsv green =(rgb.green()-min_green)/(max_green-min_green); + + // To obtain blue between 0 and 1 + const t_max_hsv max_blue = mln_max(t_blue); + const t_max_hsv min_blue = mln_min(t_blue); + const t_max_hsv blue = (rgb.blue()-min_blue)/(max_blue-min_blue); + + const t_max_hsv max = math::max(red, math::max(green, blue)); + const t_max_hsv min = math::min(red, math::min(green, blue)); + const t_max_hsv max_minus_min = max-min; + const t_max_hsv s = 0.03; + + // Locals. + T_hsv hsv; + + // SPECIFIC CASE WHEN PIXEL IS ACHROMATIC + if (s > math::abs(red - blue) && + s > math::abs(blue - red) && + s > math::abs(red - green)) + { + hsv.val() = (red + green + blue)/3.0; + hsv.sat() = 0.0; + hsv.hue() = -1.0; + } + else + { + hsv.val() = max; + hsv.sat() = max_minus_min / max; + if (max == red) + hsv.hue() = 60 * ((green - blue) / max_minus_min); + else if (max == green) + hsv.hue() = 60 * (2 + (blue - red) / max_minus_min); + else // (max == blue) + hsv.hue() = 60 * (4 + (red - green) / max_minus_min); + } + return hsv; + } + + +# endif // !MLN_INCLUDE_ONLY + + } // end of namespace fun::v2v + + } // end of namespace fun + +} // end of namespace mln + +#endif // ! MLN_FUN_V2V_RGB_TO_HSV_HH diff --git a/milena/sandbox/green/mln/fun/v2v/rgb_to_hue_map.hh b/milena/sandbox/green/mln/fun/v2v/rgb_to_hue_map.hh new file mode 100644 index 0000000..8b228e0 --- /dev/null +++ b/milena/sandbox/green/mln/fun/v2v/rgb_to_hue_map.hh @@ -0,0 +1,96 @@ +// Copyright (C) 2007 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2008 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_FUN_V2V_RGB_TO_HUE_MAP_HH +# define MLN_FUN_V2V_RGB_TO_HUE_MAP_HH + +# include <mln/math/abs.hh> +# include <mln/math/max.hh> + +# include <mln/value/rgb.hh> + + +/// \file +/// +/// \brief Convert rgb value to hue map. + +namespace mln +{ + + namespace fun + { + + namespace v2v + { + + /// \brief Convert rgb value to hue map. + /// + /// \ingroup modfunv2v + + template <unsigned n> + struct rgb_to_hue_map : + Function_v2v< rgb_to_hue_map<n> > + { + typedef value::rgb<n> argument; + typedef value::int_u<n> result; + + result operator()(const argument& v) const + { + const float max = math::max(math::max(v.red(), v.green()), v.blue()); + const float min = math::min(math::min(v.red(), v.green()), v.blue()); + const float diff = max - min; + float hue = 0; + + if (0 != diff) + { + if (v.red() == max) + { + hue = 60 * ((v.green() - v.blue()) / diff); + + if (0 < hue) + hue = 360.0 + hue; + } + else if (v.green() == max) + hue = 60 * (2 + (v.blue() - v.red()) / diff); + else // (v.blue() == max) + hue = 60 * (4 + (v.red() - v.green()) / diff); + } + + const result ret = (hue/360.0) * (mln_max(result) - mln_min(result)) + + mln_min(result); + + return ret; + } + }; + + } // end of namespace mln::fun::v2v + + } // end of namespace mln::fun + +} // end of namespace mln + +#endif // ! MLN_FUN_V2V_RGB_TO_HUE_MAP_HH diff --git a/milena/sandbox/green/mln/fun/v2v/rgb_to_saturation_map.hh b/milena/sandbox/green/mln/fun/v2v/rgb_to_saturation_map.hh new file mode 100644 index 0000000..a8847a0 --- /dev/null +++ b/milena/sandbox/green/mln/fun/v2v/rgb_to_saturation_map.hh @@ -0,0 +1,83 @@ +// Copyright (C) 2007 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2008 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_FUN_V2V_RGB_TO_SATURATION_MAP_HH +# define MLN_FUN_V2V_RGB_TO_SATURATION_MAP_HH + +# include <mln/math/abs.hh> +# include <mln/math/max.hh> + +# include <mln/value/rgb.hh> + + +/// \file +/// +/// \brief Convert rgb value to saturation map. + +namespace mln +{ + + namespace fun + { + + namespace v2v + { + + /// \brief Convert rgb value to saturation map. + /// + /// \ingroup modfunv2v + + template <unsigned n> + struct rgb_to_saturation_map : + Function_v2v< rgb_to_saturation_map<n> > + { + typedef value::rgb<n> argument; + typedef value::int_u<n> result; + + result operator()(const argument& v) const + { + const float max = math::max(math::max(v.red(), v.green()), v.blue()); + const float min = math::min(math::min(v.red(), v.green()), v.blue()); + float sat = 0.0; + + if (0 != max) + sat = (1 - (float)min/max); + + const result ret = sat * (mln_max(result) - mln_min(result)) + + mln_min(result); + + return ret; + } + }; + + } // end of namespace mln::fun::v2v + + } // end of namespace mln::fun + +} // end of namespace mln + +#endif // ! MLN_FUN_V2V_RGB_TO_SATURATION_MAP_HH diff --git a/milena/sandbox/green/mln/fun/v2v/rgb_to_value_map.hh b/milena/sandbox/green/mln/fun/v2v/rgb_to_value_map.hh new file mode 100644 index 0000000..12ac1db --- /dev/null +++ b/milena/sandbox/green/mln/fun/v2v/rgb_to_value_map.hh @@ -0,0 +1,75 @@ +// Copyright (C) 2007 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2008 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_FUN_V2V_RGB_TO_VALUE_MAP_HH +# define MLN_FUN_V2V_RGB_TO_VALUE_MAP_HH + +# include <mln/math/abs.hh> +# include <mln/math/max.hh> + +# include <mln/value/rgb.hh> + + +/// \file +/// +/// \brief Convert rgb value to value map. + +namespace mln +{ + + namespace fun + { + + namespace v2v + { + + /// \brief Convert rgb value to value map. + /// + /// \ingroup modfunv2v + + template <unsigned n> + struct rgb_to_value_map : + Function_v2v< rgb_to_value_map<n> > + { + typedef value::rgb<n> argument; + typedef value::int_u<n> result; + + result operator()(const argument& v) const + { + const result ret = math::max(math::max(v.red(), v.green()), v.blue()); + + return ret; + } + }; + + } // end of namespace mln::fun::v2v + + } // end of namespace mln::fun + +} // end of namespace mln + +#endif // ! MLN_FUN_V2V_RGB_TO_VALUE_MAP_HH diff --git a/milena/sandbox/green/mln/img_path.hh b/milena/sandbox/green/mln/img_path.hh index 7368c22..d205e1f 100644 --- a/milena/sandbox/green/mln/img_path.hh +++ b/milena/sandbox/green/mln/img_path.hh @@ -28,41 +28,212 @@ #ifndef MLN_IMG_PATH_HH # define MLN_IMG_PATH_HH -# define IMG_PATH "/home/green/svn/oln/trunk/milena/sandbox/green/img" -# define RESULT_PATH "/home/green/svn/oln/trunk/milena/sandbox/green/result" +# define IMG_PATH "/home/green/git/img" +# define RET_PATH "/home/green/git/result" # define INIM_IMG_PATH IMG_PATH"/inim" -# define INIM_FG_BG_IMG_PATH INIM_IMG_PATH"/fg_bg" +# define INIM_BG_IMG_PATH INIM_IMG_PATH"/bg" +# define INIM_FG_IMG_PATH INIM_IMG_PATH"/fg" # define INIM_IN_IMG_PATH INIM_IMG_PATH"/in" # define OLENA_IMG_PATH IMG_PATH"/olena" -# define SCRIBO_IMG_PATH IMG_PATH"/scribo" -# define SCRIBO_JPG_IMG_PATH SCRIBO_IMG_PATH"/jpg_50p" -# define SCRIBO_PGM_IMG_PATH SCRIBO_IMG_PATH"/pgm_50p" -# define SCRIBO_PPM_IMG_PATH SCRIBO_IMG_PATH"/ppm_50p" - -# define ANNOTATING_IMG_PATH IMG_PATH"/annotating" -# define ANNOTATING_BILL_IMG_PATH ANNOTATING_IMG_PATH"/bill" -# define ANNOTATING_FAX_IMG_PATH ANNOTATING_IMG_PATH"/fax" -# define ANNOTATING_HANDWRITTEN_IMG_PATH ANNOTATING_IMG_PATH"/handwritten" -# define ANNOTATING_LOGO_IMG_PATH ANNOTATING_IMG_PATH"/logo" -# define ANNOTATING_MAP_IMG_PATH ANNOTATING_IMG_PATH"/map" -# define ANNOTATING_SCREENSHOT_IMG_PATH ANNOTATING_IMG_PATH"/screenshot" -# define ANNOTATING_SLIDE_IMG_PATH ANNOTATING_IMG_PATH"/slide" -# define ANNOTATING_TYPED_IMG_PATH ANNOTATING_IMG_PATH"/typed" -# define ANNOTATING_PHOTO_IMG_PATH ANNOTATING_IMG_PATH"/photo" +# define ICDAR_IMG_PATH IMG_PATH"/icdar" +# define ICDAR_100P_IMG_PATH ICDAR_IMG_PATH"/100p" +# define ICDAR_100P_PPM_IMG_PATH ICDAR_100P_IMG_PATH"/ppm" +# define ICDAR_100P_PGM_IMG_PATH ICDAR_100P_IMG_PATH"/pgm" +# define ICDAR_100P_PBM_IMG_PATH ICDAR_100P_IMG_PATH"/pbm" +# define ICDAR_100P_THICK_IMG_PATH ICDAR_100P_IMG_PATH"/gradient_thick" +# define ICDAR_100P_THIN_IMG_PATH ICDAR_100P_IMG_PATH"/gradient_thin" + +# define ICDAR_50P_IMG_PATH ICDAR_IMG_PATH"/50p" +# define ICDAR_50P_PPM_IMG_PATH ICDAR_50P_IMG_PATH"/ppm" +# define ICDAR_50P_PGM_IMG_PATH ICDAR_50P_IMG_PATH"/pgm" +# define ICDAR_50P_PBM_IMG_PATH ICDAR_50P_IMG_PATH"/pbm" + +# define ICDAR_20P_IMG_PATH ICDAR_IMG_PATH"/20p" +# define ICDAR_20P_TEXT_ONLY_IMG_PATH ICDAR_20P_IMG_PATH"/text-only" +# define ICDAR_20P_TEXT_COLOR_IMG_PATH ICDAR_20P_IMG_PATH"/text-color" +# define ICDAR_20P_TEXT_PHOTO_IMG_PATH ICDAR_20P_IMG_PATH"/text-photo" +# define ICDAR_20P_GMP30_IMG_PATH ICDAR_20P_IMG_PATH"/gimp-pal-30" +# define ICDAR_20P_MGK30_IMG_PATH ICDAR_20P_IMG_PATH"/magick-pal-30" +# define ICDAR_20P_GMP20_IMG_PATH ICDAR_20P_IMG_PATH"/gimp-pal-20" +# define ICDAR_20P_MGK20_IMG_PATH ICDAR_20P_IMG_PATH"/magick-pal-20" +# define ICDAR_20P_GMP10_IMG_PATH ICDAR_20P_IMG_PATH"/gimp-pal-10" +# define ICDAR_20P_MGK10_IMG_PATH ICDAR_20P_IMG_PATH"/magick-pal-10" +# define ICDAR_20P_INPUT_IMG_PATH ICDAR_20P_IMG_PATH"/ppm" +# define ICDAR_20P_CROP_IMG_PATH ICDAR_20P_IMG_PATH"/crop" +# define ICDAR_20P_PGM_IMG_PATH ICDAR_20P_IMG_PATH"/pgm" +# define ICDAR_20P_PPM_IMG_PATH ICDAR_20P_IMG_PATH"/ppm" +# define ICDAR_20P_PBM_IMG_PATH ICDAR_20P_IMG_PATH"/pbm" + +# define AFP_IMG_PATH IMG_PATH"/afp" +# define AFP_GMP30_IMG_PATH AFP_IMG_PATH"/gimp-pal-30" +# define AFP_GMP20_IMG_PATH AFP_IMG_PATH"/gimp-pal-20" +# define AFP_GMP10_IMG_PATH AFP_IMG_PATH"/gimp-pal-10" +# define AFP_MGK30_IMG_PATH AFP_IMG_PATH"/magick-pal-30" +# define AFP_MGK20_IMG_PATH AFP_IMG_PATH"/magick-pal-20" +# define AFP_MGK10_IMG_PATH AFP_IMG_PATH"/magick-pal-10" +# define AFP_INPUT_IMG_PATH AFP_IMG_PATH"/ppm" +# define AFP_PPM_IMG_PATH AFP_IMG_PATH"/ppm" +# define AFP_JPG_IMG_PATH AFP_IMG_PATH"/jpg" + +# define ANNOTATING_1_IMG_PATH IMG_PATH"/annotating-1" +# define ANNOTATING_1_BILL_IMG_PATH ANNOTATING_1_IMG_PATH"/bill" +# define ANNOTATING_1_FAX_IMG_PATH ANNOTATING_1_IMG_PATH"/fax" +# define ANNOTATING_1_HANDWRITTEN_IMG_PATH ANNOTATING_1_IMG_PATH"/handwritten" +# define ANNOTATING_1_LOGO_IMG_PATH ANNOTATING_1_IMG_PATH"/logo" +# define ANNOTATING_1_MAP_IMG_PATH ANNOTATING_1_IMG_PATH"/map" +# define ANNOTATING_1_SCREENSHOT_IMG_PATH ANNOTATING_1_IMG_PATH"/screenshot" +# define ANNOTATING_1_SLIDE_IMG_PATH ANNOTATING_1_IMG_PATH"/slide" +# define ANNOTATING_1_TYPED_IMG_PATH ANNOTATING_1_IMG_PATH"/typed" +# define ANNOTATING_1_PHOTO_IMG_PATH ANNOTATING_1_IMG_PATH"/photo" + +# define ANNOTATING_2_IMG_PATH IMG_PATH"/annotating-2" +# define ANNOTATING_2_BILL_IMG_PATH ANNOTATING_2_IMG_PATH"/bill" +# define ANNOTATING_2_FAX_IMG_PATH ANNOTATING_2_IMG_PATH"/fax" +# define ANNOTATING_2_HANDWRITTEN_IMG_PATH ANNOTATING_2_IMG_PATH"/handwritten" +# define ANNOTATING_2_LOGO_IMG_PATH ANNOTATING_2_IMG_PATH"/logo" +# define ANNOTATING_2_MAP_IMG_PATH ANNOTATING_2_IMG_PATH"/map" +# define ANNOTATING_2_SCREENSHOT_IMG_PATH ANNOTATING_2_IMG_PATH"/screenshot" +# define ANNOTATING_2_SLIDE_IMG_PATH ANNOTATING_2_IMG_PATH"/slide" +# define ANNOTATING_2_TYPED_IMG_PATH ANNOTATING_2_IMG_PATH"/typed" +# define ANNOTATING_2_PHOTO_IMG_PATH ANNOTATING_2_IMG_PATH"/photo" // result directories -# define RESULT_ANNOTATING_PATH RESULT_PATH"/annotating" -# define RESULT_ANNOTATING_BILL_PATH RESULT_ANNOTATING_PATH"/bill" -# define RESULT_ANNOTATING_FAX_PATH RESULT_ANNOTATING_PATH"/fax" -# define RESULT_ANNOTATING_HANDWRITTEN_PATH RESULT_ANNOTATING_PATH"/handwritten" -# define RESULT_ANNOTATING_LOGO_PATH RESULT_ANNOTATING_PATH"/logo" -# define RESULT_ANNOTATING_MAP_PATH RESULT_ANNOTATING_PATH"/map" -# define RESULT_ANNOTATING_SCREENSHOT_PATH RESULT_ANNOTATING_PATH"/screenshot" -# define RESULT_ANNOTATING_SLIDE_PATH RESULT_ANNOTATING_PATH"/slide" -# define RESULT_ANNOTATING_TYPED_PATH RESULT_ANNOTATING_PATH"/typed" -# define RESULT_ANNOTATING_PHOTO_PATH RESULT_ANNOTATING_PATH"/photo" +# define ANNOTATING_RET_PATH RET_PATH"/annotating" + +# define ANNOTATING_ICDAR_RET_PATH ANNOTATING_RET_PATH"/icdar" + +# define ANNOTATING_ICDAR_INPUT_RET_PATH ANNOTATING_ICDAR_RET_PATH"/input" +# define ANNOTATING_ICDAR_H_INPUT_RET_PATH ANNOTATING_ICDAR_INPUT_RET_PATH"/h" +# define ANNOTATING_ICDAR_S_INPUT_RET_PATH ANNOTATING_ICDAR_INPUT_RET_PATH"/s" +# define ANNOTATING_ICDAR_V_INPUT_RET_PATH ANNOTATING_ICDAR_INPUT_RET_PATH"/v" +# define ANNOTATING_ICDAR_R_INPUT_RET_PATH ANNOTATING_ICDAR_INPUT_RET_PATH"/r" +# define ANNOTATING_ICDAR_G_INPUT_RET_PATH ANNOTATING_ICDAR_INPUT_RET_PATH"/g" +# define ANNOTATING_ICDAR_B_INPUT_RET_PATH ANNOTATING_ICDAR_INPUT_RET_PATH"/b" + +# define ANNOTATING_ICDAR_GMP30_RET_PATH ANNOTATING_ICDAR_RET_PATH"/gimp-pal-30" +# define ANNOTATING_ICDAR_H_GMP30_RET_PATH ANNOTATING_ICDAR_GMP30_RET_PATH"/h" +# define ANNOTATING_ICDAR_S_GMP30_RET_PATH ANNOTATING_ICDAR_GMP30_RET_PATH"/s" +# define ANNOTATING_ICDAR_V_GMP30_RET_PATH ANNOTATING_ICDAR_GMP30_RET_PATH"/v" +# define ANNOTATING_ICDAR_R_GMP30_RET_PATH ANNOTATING_ICDAR_GMP30_RET_PATH"/r" +# define ANNOTATING_ICDAR_G_GMP30_RET_PATH ANNOTATING_ICDAR_GMP30_RET_PATH"/g" +# define ANNOTATING_ICDAR_B_GMP30_RET_PATH ANNOTATING_ICDAR_GMP30_RET_PATH"/b" + +# define ANNOTATING_ICDAR_GMP20_RET_PATH ANNOTATING_ICDAR_RET_PATH"/gimp-pal-20" +# define ANNOTATING_ICDAR_H_GMP20_RET_PATH ANNOTATING_ICDAR_GMP20_RET_PATH"/h" +# define ANNOTATING_ICDAR_S_GMP20_RET_PATH ANNOTATING_ICDAR_GMP20_RET_PATH"/s" +# define ANNOTATING_ICDAR_V_GMP20_RET_PATH ANNOTATING_ICDAR_GMP20_RET_PATH"/v" +# define ANNOTATING_ICDAR_R_GMP20_RET_PATH ANNOTATING_ICDAR_GMP20_RET_PATH"/r" +# define ANNOTATING_ICDAR_G_GMP20_RET_PATH ANNOTATING_ICDAR_GMP20_RET_PATH"/g" +# define ANNOTATING_ICDAR_B_GMP20_RET_PATH ANNOTATING_ICDAR_GMP20_RET_PATH"/b" + +# define ANNOTATING_ICDAR_GMP10_RET_PATH ANNOTATING_ICDAR_RET_PATH"/gimp-pal-10" +# define ANNOTATING_ICDAR_H_GMP10_RET_PATH ANNOTATING_ICDAR_GMP10_RET_PATH"/h" +# define ANNOTATING_ICDAR_S_GMP10_RET_PATH ANNOTATING_ICDAR_GMP10_RET_PATH"/s" +# define ANNOTATING_ICDAR_V_GMP10_RET_PATH ANNOTATING_ICDAR_GMP10_RET_PATH"/v" +# define ANNOTATING_ICDAR_R_GMP10_RET_PATH ANNOTATING_ICDAR_GMP10_RET_PATH"/r" +# define ANNOTATING_ICDAR_G_GMP10_RET_PATH ANNOTATING_ICDAR_GMP10_RET_PATH"/g" +# define ANNOTATING_ICDAR_B_GMP10_RET_PATH ANNOTATING_ICDAR_GMP10_RET_PATH"/b" + +# define ANNOTATING_ICDAR_MGK30_RET_PATH ANNOTATING_ICDAR_RET_PATH"/magick-pal-30" +# define ANNOTATING_ICDAR_H_MGK30_RET_PATH ANNOTATING_ICDAR_MGK30_RET_PATH"/h" +# define ANNOTATING_ICDAR_S_MGK30_RET_PATH ANNOTATING_ICDAR_MGK30_RET_PATH"/s" +# define ANNOTATING_ICDAR_V_MGK30_RET_PATH ANNOTATING_ICDAR_MGK30_RET_PATH"/v" +# define ANNOTATING_ICDAR_R_MGK30_RET_PATH ANNOTATING_ICDAR_MGK30_RET_PATH"/r" +# define ANNOTATING_ICDAR_G_MGK30_RET_PATH ANNOTATING_ICDAR_MGK30_RET_PATH"/g" +# define ANNOTATING_ICDAR_B_MGK30_RET_PATH ANNOTATING_ICDAR_MGK30_RET_PATH"/b" + +# define ANNOTATING_ICDAR_MGK20_RET_PATH ANNOTATING_ICDAR_RET_PATH"/magick-pal-20" +# define ANNOTATING_ICDAR_H_MGK20_RET_PATH ANNOTATING_ICDAR_MGK20_RET_PATH"/h" +# define ANNOTATING_ICDAR_S_MGK20_RET_PATH ANNOTATING_ICDAR_MGK20_RET_PATH"/s" +# define ANNOTATING_ICDAR_V_MGK20_RET_PATH ANNOTATING_ICDAR_MGK20_RET_PATH"/v" +# define ANNOTATING_ICDAR_R_MGK20_RET_PATH ANNOTATING_ICDAR_MGK20_RET_PATH"/r" +# define ANNOTATING_ICDAR_G_MGK20_RET_PATH ANNOTATING_ICDAR_MGK20_RET_PATH"/g" +# define ANNOTATING_ICDAR_B_MGK20_RET_PATH ANNOTATING_ICDAR_MGK20_RET_PATH"/b" + +# define ANNOTATING_ICDAR_MGK10_RET_PATH ANNOTATING_ICDAR_RET_PATH"/magick-pal-10" +# define ANNOTATING_ICDAR_H_MGK10_RET_PATH ANNOTATING_ICDAR_MGK10_RET_PATH"/h" +# define ANNOTATING_ICDAR_S_MGK10_RET_PATH ANNOTATING_ICDAR_MGK10_RET_PATH"/s" +# define ANNOTATING_ICDAR_V_MGK10_RET_PATH ANNOTATING_ICDAR_MGK10_RET_PATH"/v" +# define ANNOTATING_ICDAR_R_MGK10_RET_PATH ANNOTATING_ICDAR_MGK10_RET_PATH"/r" +# define ANNOTATING_ICDAR_G_MGK10_RET_PATH ANNOTATING_ICDAR_MGK10_RET_PATH"/g" +# define ANNOTATING_ICDAR_B_MGK10_RET_PATH ANNOTATING_ICDAR_MGK10_RET_PATH"/b" + + + + +# define ANNOTATING_AFP_RET_PATH ANNOTATING_RET_PATH"/afp" + +# define ANNOTATING_AFP_INPUT_RET_PATH ANNOTATING_AFP_RET_PATH"/input" +# define ANNOTATING_AFP_H_INPUT_RET_PATH ANNOTATING_AFP_INPUT_RET_PATH"/h" +# define ANNOTATING_AFP_S_INPUT_RET_PATH ANNOTATING_AFP_INPUT_RET_PATH"/s" +# define ANNOTATING_AFP_V_INPUT_RET_PATH ANNOTATING_AFP_INPUT_RET_PATH"/v" +# define ANNOTATING_AFP_R_INPUT_RET_PATH ANNOTATING_AFP_INPUT_RET_PATH"/r" +# define ANNOTATING_AFP_G_INPUT_RET_PATH ANNOTATING_AFP_INPUT_RET_PATH"/g" +# define ANNOTATING_AFP_B_INPUT_RET_PATH ANNOTATING_AFP_INPUT_RET_PATH"/b" + +# define ANNOTATING_AFP_GMP30_RET_PATH ANNOTATING_AFP_RET_PATH"/gimp-pal-30" +# define ANNOTATING_AFP_H_GMP30_RET_PATH ANNOTATING_AFP_GMP30_RET_PATH"/h" +# define ANNOTATING_AFP_S_GMP30_RET_PATH ANNOTATING_AFP_GMP30_RET_PATH"/s" +# define ANNOTATING_AFP_V_GMP30_RET_PATH ANNOTATING_AFP_GMP30_RET_PATH"/v" +# define ANNOTATING_AFP_R_GMP30_RET_PATH ANNOTATING_AFP_GMP30_RET_PATH"/r" +# define ANNOTATING_AFP_G_GMP30_RET_PATH ANNOTATING_AFP_GMP30_RET_PATH"/g" +# define ANNOTATING_AFP_B_GMP30_RET_PATH ANNOTATING_AFP_GMP30_RET_PATH"/b" + +# define ANNOTATING_AFP_GMP20_RET_PATH ANNOTATING_AFP_RET_PATH"/gimp-pal-20" +# define ANNOTATING_AFP_H_GMP20_RET_PATH ANNOTATING_AFP_GMP20_RET_PATH"/h" +# define ANNOTATING_AFP_S_GMP20_RET_PATH ANNOTATING_AFP_GMP20_RET_PATH"/s" +# define ANNOTATING_AFP_V_GMP20_RET_PATH ANNOTATING_AFP_GMP20_RET_PATH"/v" +# define ANNOTATING_AFP_R_GMP20_RET_PATH ANNOTATING_AFP_GMP20_RET_PATH"/r" +# define ANNOTATING_AFP_G_GMP20_RET_PATH ANNOTATING_AFP_GMP20_RET_PATH"/g" +# define ANNOTATING_AFP_B_GMP20_RET_PATH ANNOTATING_AFP_GMP20_RET_PATH"/b" + +# define ANNOTATING_AFP_GMP10_RET_PATH ANNOTATING_AFP_RET_PATH"/gimp-pal-10" +# define ANNOTATING_AFP_H_GMP10_RET_PATH ANNOTATING_AFP_GMP10_RET_PATH"/h" +# define ANNOTATING_AFP_S_GMP10_RET_PATH ANNOTATING_AFP_GMP10_RET_PATH"/s" +# define ANNOTATING_AFP_V_GMP10_RET_PATH ANNOTATING_AFP_GMP10_RET_PATH"/v" +# define ANNOTATING_AFP_R_GMP10_RET_PATH ANNOTATING_AFP_GMP10_RET_PATH"/r" +# define ANNOTATING_AFP_G_GMP10_RET_PATH ANNOTATING_AFP_GMP10_RET_PATH"/g" +# define ANNOTATING_AFP_B_GMP10_RET_PATH ANNOTATING_AFP_GMP10_RET_PATH"/b" + +# define ANNOTATING_AFP_MGK30_RET_PATH ANNOTATING_AFP_RET_PATH"/magick-pal-30" +# define ANNOTATING_AFP_H_MGK30_RET_PATH ANNOTATING_AFP_MGK30_RET_PATH"/h" +# define ANNOTATING_AFP_S_MGK30_RET_PATH ANNOTATING_AFP_MGK30_RET_PATH"/s" +# define ANNOTATING_AFP_V_MGK30_RET_PATH ANNOTATING_AFP_MGK30_RET_PATH"/v" +# define ANNOTATING_AFP_R_MGK30_RET_PATH ANNOTATING_AFP_MGK30_RET_PATH"/r" +# define ANNOTATING_AFP_G_MGK30_RET_PATH ANNOTATING_AFP_MGK30_RET_PATH"/g" +# define ANNOTATING_AFP_B_MGK30_RET_PATH ANNOTATING_AFP_MGK30_RET_PATH"/b" + +# define ANNOTATING_AFP_MGK20_RET_PATH ANNOTATING_AFP_RET_PATH"/magick-pal-20" +# define ANNOTATING_AFP_H_MGK20_RET_PATH ANNOTATING_AFP_MGK20_RET_PATH"/h" +# define ANNOTATING_AFP_S_MGK20_RET_PATH ANNOTATING_AFP_MGK20_RET_PATH"/s" +# define ANNOTATING_AFP_V_MGK20_RET_PATH ANNOTATING_AFP_MGK20_RET_PATH"/v" +# define ANNOTATING_AFP_R_MGK20_RET_PATH ANNOTATING_AFP_MGK20_RET_PATH"/r" +# define ANNOTATING_AFP_G_MGK20_RET_PATH ANNOTATING_AFP_MGK20_RET_PATH"/g" +# define ANNOTATING_AFP_B_MGK20_RET_PATH ANNOTATING_AFP_MGK20_RET_PATH"/b" + +# define ANNOTATING_AFP_MGK10_RET_PATH ANNOTATING_AFP_RET_PATH"/magick-pal-10" +# define ANNOTATING_AFP_H_MGK10_RET_PATH ANNOTATING_AFP_MGK10_RET_PATH"/h" +# define ANNOTATING_AFP_S_MGK10_RET_PATH ANNOTATING_AFP_MGK10_RET_PATH"/s" +# define ANNOTATING_AFP_V_MGK10_RET_PATH ANNOTATING_AFP_MGK10_RET_PATH"/v" +# define ANNOTATING_AFP_R_MGK10_RET_PATH ANNOTATING_AFP_MGK10_RET_PATH"/r" +# define ANNOTATING_AFP_G_MGK10_RET_PATH ANNOTATING_AFP_MGK10_RET_PATH"/g" +# define ANNOTATING_AFP_B_MGK10_RET_PATH ANNOTATING_AFP_MGK10_RET_PATH"/b" + + +# define ANNOTATING_BILL_RET_PATH ANNOTATING_RET_PATH"/bill" +# define ANNOTATING_FAX_RET_PATH ANNOTATING_RET_PATH"/fax" +# define ANNOTATING_HANDWRITTEN_RET_PATH ANNOTATING_RET_PATH"/handwritten" +# define ANNOTATING_LOGO_RET_PATH ANNOTATING_RET_PATH"/logo" +# define ANNOTATING_MAP_RET_PATH ANNOTATING_RET_PATH"/map" +# define ANNOTATING_SCREENSHOT_RET_PATH ANNOTATING_RET_PATH"/screenshot" +# define ANNOTATING_SLIDE_RET_PATH ANNOTATING_RET_PATH"/slide" +# define ANNOTATING_TYPED_RET_PATH ANNOTATING_RET_PATH"/typed" +# define ANNOTATING_PHOTO_RET_PATH ANNOTATING_RET_PATH"/photo" + +# define ANNOTATING_ICDAR_ACHROMATISM_RET_PATH ANNOTATING_ICDAR_RET_PATH"/achromatism" + #endif // ! MLN_IMG_PATH_HH diff --git a/milena/sandbox/green/mln/math/ceil.hh b/milena/sandbox/green/mln/math/ceil.hh new file mode 100644 index 0000000..6fc08c8 --- /dev/null +++ b/milena/sandbox/green/mln/math/ceil.hh @@ -0,0 +1,64 @@ +// Copyright (C) 2007, 2008, 2009, 2010 +// EPITA Research and Development Laboratory (LRDE) +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_MATH_CEIL_HH +# define MLN_MATH_CEIL_HH + +/*! \file + * + * \brief Define the ceil (ceil) routine. + */ + +# include <cmath> + + +namespace mln +{ + + namespace math + { + + template <typename T> + T ceil(const T& v); + + +# ifndef MLN_INCLUDE_ONLY + + template <typename T> + inline + T ceil(const T& v) + { + return std::ceil(v); + } + +# endif // ! MLN_INCLUDE_ONLY + + } // end of namespace mln::math + +} // end of namespace mln + + +#endif // ! MLN_MATH_FLOOR_HH diff --git a/milena/sandbox/green/mln/math/floor.hh b/milena/sandbox/green/mln/math/floor.hh new file mode 100644 index 0000000..97e63bd --- /dev/null +++ b/milena/sandbox/green/mln/math/floor.hh @@ -0,0 +1,64 @@ +// Copyright (C) 2007, 2008, 2009, 2010 +// EPITA Research and Development Laboratory (LRDE) +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_MATH_FLOOR_HH +# define MLN_MATH_FLOOR_HH + +/*! \file + * + * \brief Define the floor (floor) routine. + */ + +# include <cmath> + + +namespace mln +{ + + namespace math + { + + template <typename T> + T floor(const T& v); + + +# ifndef MLN_INCLUDE_ONLY + + template <typename T> + inline + T floor(const T& v) + { + return std::floor(v); + } + +# endif // ! MLN_INCLUDE_ONLY + + } // end of namespace mln::math + +} // end of namespace mln + + +#endif // ! MLN_MATH_FLOOR_HH diff --git a/milena/sandbox/green/mln/value/hsv.hh b/milena/sandbox/green/mln/value/hsv.hh new file mode 100644 index 0000000..69948d9 --- /dev/null +++ b/milena/sandbox/green/mln/value/hsv.hh @@ -0,0 +1,424 @@ +// Copyright (C) 2008, 2009 EPITA Research and Development Laboratory (LRDE) +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_VALUE_HSV_HH +# define MLN_VALUE_HSV_HH + +#include <mln/value/ops.hh> + +#include <mln/value/concept/vectorial.hh> +#include <mln/value/int_u.hh> +// #include <mln/algebra/vec.hh> + +// Used in from_to +// #include <mln/fun/v2v/rgb_to_hsv.hh> + + +namespace mln +{ + + // Forward declarations. + namespace value + { + + template <typename H, typename S, typename V> + class hsv_; + + } + + +/* + namespace convert + { + + namespace over_load + { + + // rgb to hsv_ + void + from_to_(const value::rgb<16>& from, value::hsv_<float,float,float>& to); + + // rgb to hsv_ + void + from_to_(const value::rgb<8>& from, value::hsv_<float,float,float>& to); + + } // end of namespace mln::convert::over_load + + } // end of namespace mln::convert +*/ + + + namespace trait + { + + template <typename H, typename S, typename V> + struct set_precise_binary_< op::plus, mln::value::hsv_<H,S,V>, + mln::value::hsv_<H,S,V> > + { + typedef mln::value::hsv_<H,S,V> ret; + }; + + template <typename H, typename S, typename V> + struct set_precise_binary_< op::minus, mln::value::hsv_<H,S,V>, + mln::value::hsv_<H,S,V> > + { + typedef mln::value::hsv_<H,S,V> ret; + }; + + template <typename H, typename S, typename V, typename S2> + struct set_precise_binary_< op::times, mln::value::hsv_<H,S,V>, + mln::value::scalar_<S2> > + { + typedef mln::value::hsv_<H,S,V> ret; + }; + + template <typename H, typename S, typename V, typename S2> + struct set_precise_binary_< op::div, mln::value::hsv_<H,S,V>, + mln::value::scalar_<S2> > + { + typedef mln::value::hsv_<H,S,V> ret; + }; + + + // FIXME : Is there any way more generic? a way to factor + // set_precise_binary_< op::div, mln::value::hsv_<H,S,V>, mln::value::scalar_<S> > + // and + // set_precise_binary_< op::div, mln::value::hsv_<H,S,V>, mln::value::int_u<m> > + // as for op::times. + + template <typename H, typename S, typename V, unsigned m> + struct set_precise_binary_< op::times, mln::value::hsv_<H,S,V>, + mln::value::int_u<m> > + { + typedef mln::value::hsv_<H,S,V> ret; + }; + + template <typename H, typename S, typename V, unsigned m> + struct set_precise_binary_< op::div, mln::value::hsv_<H,S,V>, + mln::value::int_u<m> > + { + typedef mln::value::hsv_<H,S,V> ret; + }; + + template <typename H, typename S, typename V> + struct value_< mln::value::hsv_<H,S,V> > + { + enum { + dim = 3, + nbits = (sizeof (H) + sizeof (S) + sizeof (V)) * 8, + card = mln_value_card_from_(nbits) + }; + + typedef trait::value::nature::vectorial nature; + typedef trait::value::kind::color kind; + typedef mln_value_quant_from_(card) quant; + + typedef void comp; + typedef H comp_0; + typedef S comp_1; + typedef V comp_2; + + template <typename VAL> + static comp_0 get_comp_0(const VAL& v) { return v.hue(); } + + template <typename VAL> + static comp_1 get_comp_1(const VAL& v) { return v.sat(); } + + template <typename VAL> + static comp_2 get_comp_2(const VAL& v) { return v.val(); } + + typedef mln::value::hsv_<H,S,V> sum; + }; + + } // end of namespace trait + + + namespace value + { + + template <typename E> + struct HSV : Object<E> + { + }; + + template <typename H, typename S, typename V> + class hsv_ : public HSV< hsv_<H,S,V> > + { + public: + + typedef H h_type; + typedef S s_type; + typedef V v_type; + + /// Constructor without argument. + hsv_() + { + } + + hsv_(const literal::zero_t&) + : hue_(0), + sat_(0), + val_(0) + { + } + + /// Constructor from component values. + hsv_(const H& hue, const S& sat, const V& val) + : hue_(hue), + sat_(sat), + val_(val) + { + } + + /// Read-only access to the hue component. + const H& hue() const; + const S& sat() const; + const V& val() const; + + /// Read-write access to the hue component. + H& hue(); + S& sat(); + V& val(); + + private: + //FIXME: Don't we want to store these values in a vector? + H hue_; + S sat_; + V val_; + }; + + + typedef hsv_<float, float, float> hsv_f; + typedef hsv_<double, double, double> hsv_d; + + + /// Print an hsv \p c into the output stream \p ostr. + /// + /// \param[in,out] ostr An output stream. + /// \param[in] c An rgb. + /// + /// \return The modified output stream \p ostr. + template <typename H, typename S, typename V> + std::ostream& operator<<(std::ostream& ostr, const hsv_<H,S,V>& c); + + + /// Addition. + /// { + template <typename H, typename S, typename V> + hsv_<H,S,V> + operator+(const hsv_<H,S,V>& lhs, const hsv_<H,S,V>& rhs); + /// \} + + /// Subtraction. + /// \{ + template <typename H, typename S, typename V> + hsv_<H,S,V> + operator-(const hsv_<H,S,V>& lhs, const hsv_<H,S,V>& rhs); + /// \} + + /// Product. + /// \{ + template <typename H, typename S, typename V, typename S2> + hsv_<H,S,V> + operator*(const hsv_<H,S,V>& lhs, const mln::value::scalar_<S2>& s); + /// \} + + /// Division. + /// \{ + template <typename H, typename S, typename V, typename S2> + hsv_<H,S,V> + operator/(const hsv_<H,S,V>& lhs, const mln::value::scalar_<S2>& s); + /// \} + + /// Comparison. + /// \{ + template <typename H, typename S, typename V> + bool + operator==(const hsv_<H,S,V>& lhs, const hsv_<H,S,V>& rhs); + /// \} + + } // end of namespace mln::value + + + + // More forward declarations + namespace fun + { + namespace v2v + { + + template <typename T_hsv> + struct f_rgb_to_hsv_; + + typedef f_rgb_to_hsv_<value::hsv_f> f_rgb_to_hsv_f_t; + + extern f_rgb_to_hsv_f_t f_rgb_to_hsv_f; + + } + + } + +# ifndef MLN_INCLUDE_ONLY + + + namespace value + { + + template <typename H, typename S, typename V> + const H& + hsv_<H,S,V>::hue() const + { + return this->hue_; + } + + template <typename H, typename S, typename V> + const S& + hsv_<H,S,V>::sat() const + { + return this->sat_; + } + + template <typename H, typename S, typename V> + const V& + hsv_<H,S,V>::val() const + { + return this->val_; + } + + template <typename H, typename S, typename V> + H& + hsv_<H,S,V>::hue() + { + return this->hue_; + } + + template <typename H, typename S, typename V> + S& + hsv_<H,S,V>::sat() + { + return this->sat_; + } + + template <typename H, typename S, typename V> + V& + hsv_<H,S,V>::val() + { + return this->val_; + } + + + template <typename H, typename S, typename V> + inline + std::ostream& operator<<(std::ostream& ostr, const hsv_<H,S,V>& v) + { + return ostr << '(' << debug::format(v.hue()) + << ',' << debug::format(v.sat()) + << ',' << debug::format(v.val()) + << ')'; + } + + + template <typename H, typename S, typename V> + hsv_<H,S,V> + operator+(const hsv_<H,S,V>& lhs, const hsv_<H,S,V>& rhs) + { + return hsv_<H,S,V>(lhs.hue() + rhs.hue(), + lhs.sat() + rhs.sat(), + lhs.val() + rhs.val()); + } + + + template <typename H, typename S, typename V> + hsv_<H,S,V> + operator-(const hsv_<H,S,V>& lhs, const hsv_<H,S,V>& rhs) + { + return hsv_<H,S,V>(lhs.hue() - rhs.hue(), + lhs.sat() - rhs.sat(), + lhs.val() - rhs.val()); + } + + + template <typename H, typename S, typename V, typename S2> + hsv_<H,S,V> + operator*(const hsv_<H,S,V>& lhs, const mln::value::scalar_<S2>& s) + { + return hsv_<H,S,V>(lhs.hue() * s, + lhs.sat() * s, + lhs.val() * s); + } + + + template <typename H, typename S, typename V, typename S2> + hsv_<H,S,V> + operator/(const hsv_<H,S,V>& lhs, const mln::value::scalar_<S2>& s) + { + return hsv_<H,S,V>(lhs.hue() / s, + lhs.sat() / s, + lhs.val() / s); + } + + template <typename H, typename S, typename V> + bool + operator==(const hsv_<H,S,V>& lhs, const hsv_<H,S,V>& rhs) + { + return lhs.hue() == rhs.hue() + && lhs.sat() == rhs.sat() + && lhs.val() == rhs.val(); + } + + } // end of namespace mln::value + +/* + namespace convert + { + + namespace over_load + { + + inline + void + from_to_(const value::rgb<16>& from, value::hsv_<float,float,float>& to) + { + to = fun::v2v::f_rgb_to_hsv_f(from); + } + + inline + void + from_to_(const value::rgb<8>& from, value::hsv_<float,float,float>& to) + { + to = fun::v2v::f_rgb_to_hsv_f(from); + } + + } // end of namespace mln::convert::over_load + + } // end of namespace mln::convert +*/ + +# endif // ! MLN_INCLUDE_ONLY + + +} // end of namespace mln + +#endif // ! MLN_VALUE_HSV_HH -- 1.5.6.5

14 years, 2 months

last-svn-commit-38-g97cf182 Fix the way to convert unsigned to float.

by Yann Jacquelet

* mln/convert/from_to.hxx: New conversion utilities. * mln/convert/impl/from_unsigned_to_value.hh: New conversion utilities. --- milena/ChangeLog | 7 +++++++ milena/mln/convert/from_to.hxx | 4 ++++ milena/mln/convert/impl/from_unsigned_to_value.hh | 10 ++++++++++ 3 files changed, 21 insertions(+), 0 deletions(-) diff --git a/milena/ChangeLog b/milena/ChangeLog index 10c5def..3804c90 100644 --- a/milena/ChangeLog +++ b/milena/ChangeLog @@ -1,3 +1,10 @@ +2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + + Fix the way to convert unsigned to float. + + * mln/convert/from_to.hxx: New conversion utilities. + * mln/convert/impl/from_unsigned_to_value.hh: New conversion utilities. + 2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> Fix the outside template use case for the convolve macros. diff --git a/milena/mln/convert/from_to.hxx b/milena/mln/convert/from_to.hxx index ebc30cd..8334b14 100644 --- a/milena/mln/convert/from_to.hxx +++ b/milena/mln/convert/from_to.hxx @@ -261,6 +261,10 @@ namespace mln void from_to_(const Value<F>& from, Value<T>& to); + // unsigned -> float + void + from_to_(const unsigned& from, float& to); + // double-> Value template <typename V> void diff --git a/milena/mln/convert/impl/from_unsigned_to_value.hh b/milena/mln/convert/impl/from_unsigned_to_value.hh index ad54cff..fe09a3e 100644 --- a/milena/mln/convert/impl/from_unsigned_to_value.hh +++ b/milena/mln/convert/impl/from_unsigned_to_value.hh @@ -118,6 +118,16 @@ namespace mln internal::from_unsigned_to_value_dispatch(from, to); } + + // Facades. + // unsigned-> float + void + from_to_(const unsigned& from, float& to) + { + to = from; + } + + } // end of namespace mln::convert::over_load -- 1.5.6.5

14 years, 2 months

last-svn-commit-39-gb050ed7 Simple integration test.

by Yann Jacquelet

* ok/mln/img_path.hh: New header file. * ok/mln/accu/histo/histo1d.hh: New header file. * ok/mln/accu/histo/histo2d.hh: New header file. * ok/mln/accu/histo/histo3d.hh: New header file. * ok/test/accu/histo/gaussian.sh: New gnuplot script file. * ok/test/accu/histo/histo1d.cc: New source file. --- scribo/sandbox/green/ChangeLog | 12 + scribo/sandbox/green/README | 32 + .../sandbox/green/ok/mln/accu/histo}/histo1d.hh | 100 ++-- .../sandbox/green/ok/mln/accu/histo}/histo2d.hh | 0 .../sandbox/green/ok/mln/accu/histo/histo3d.hh | 0 .../sandbox/green/ok}/mln/img_path.hh | 0 .../sandbox/green/ok/test/accu/histo}/gaussian.sh | 0 scribo/sandbox/green/ok/test/accu/histo/histo1d | Bin 0 -> 802920 bytes scribo/sandbox/green/ok/test/accu/histo/histo1d.cc | 726 ++++++++++++++++++++ 9 files changed, 813 insertions(+), 57 deletions(-) create mode 100644 scribo/sandbox/green/README copy {milena/sandbox/green/mln/accu/stat => scribo/sandbox/green/ok/mln/accu/histo}/histo1d.hh (74%) copy {milena/sandbox/green/mln/accu/stat => scribo/sandbox/green/ok/mln/accu/histo}/histo2d.hh (100%) copy milena/sandbox/green/mln/accu/stat/histo3d_rgb.hh => scribo/sandbox/green/ok/mln/accu/histo/histo3d.hh (100%) copy {milena/sandbox/green => scribo/sandbox/green/ok}/mln/img_path.hh (100%) copy {milena/sandbox/green/tests/accu/stat/histo1d => scribo/sandbox/green/ok/test/accu/histo}/gaussian.sh (100%) create mode 100755 scribo/sandbox/green/ok/test/accu/histo/histo1d create mode 100644 scribo/sandbox/green/ok/test/accu/histo/histo1d.cc diff --git a/scribo/sandbox/green/ChangeLog b/scribo/sandbox/green/ChangeLog index e69de29..ed399c5 100644 --- a/scribo/sandbox/green/ChangeLog +++ b/scribo/sandbox/green/ChangeLog @@ -0,0 +1,12 @@ +2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + + Simple integration test. + + * README: New text file. + * ok/mln/img_path.hh: New header file. + * ok/mln/accu/histo/histo1d.hh: New header file. + * ok/mln/accu/histo/histo2d.hh: New header file. + * ok/mln/accu/histo/histo3d.hh: New header file. + * ok/test/accu/histo/gaussian.sh: New gnuplot script file. + * ok/test/accu/histo/histo1d.cc: New source file. + diff --git a/scribo/sandbox/green/README b/scribo/sandbox/green/README new file mode 100644 index 0000000..4eb71b7 --- /dev/null +++ b/scribo/sandbox/green/README @@ -0,0 +1,32 @@ +Le travail est classé dans deux répertoires ok et ko. +Le répertoire ok correspond aux sources qui ont été reprises et retestées. +Le répertoire ko correspond aux sources qui ont été juste transférées. + +La première brique logicielle importante sur laquelle s'appuie mes travaux est +la création d'histogrammes sous forme d'image. + + +CREATION DES HISTOGRAMMES +------------------------- + +ko/mln/accu/stat/histo1d.hh: histogramme image valeur scalaire. +ko/mln/accu/stat/histo2d.hh: histogramme image valeur vectorielle 2d. +ko/mln/accu/stat/histo3d_hsl.hh: histogramme image valeur vectorielle 3d (HSL). +ko/mln/accu/stat/histo3d_rgb.hh: histogramme image valeur vectorielle 3d (RGB). + + + + +ok/mln/accu/histo/histo1d.hh: histogramme image valeur scalaire entière. +ok/mln/accu/histo/histo2d.hh: histogramme image valeur vectorielle 2d entière. +ok/mln/accu/histo/histo3d.hh: histogramme image valeur vectorielle 3d entière. + + +SAUVEGARDE DES HISTOGRAMMES +--------------------------- + + + + +VISUALISATION DES HISTOGRAMMES +------------------------------ \ No newline at end of file diff --git a/milena/sandbox/green/mln/accu/stat/histo1d.hh b/scribo/sandbox/green/ok/mln/accu/histo/histo1d.hh similarity index 74% copy from milena/sandbox/green/mln/accu/stat/histo1d.hh copy to scribo/sandbox/green/ok/mln/accu/histo/histo1d.hh index 57d6103..139cf39 100644 --- a/milena/sandbox/green/mln/accu/stat/histo1d.hh +++ b/scribo/sandbox/green/ok/mln/accu/histo/histo1d.hh @@ -1,6 +1,5 @@ -// Copyright (C) 2007 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2008 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2007,2008,2009,2010 EPITA Research and Development +// Laboratory (LRDE) // // This file is part of Olena. // @@ -25,35 +24,41 @@ // exception does not however invalidate any other reasons why the // executable file might be covered by the GNU General Public License. -#ifndef MLN_ACCU_STAT_HISTO1D_HH -#define MLN_ACCU_STAT_HISTO1D_HH +#ifndef MLN_ACCU_HISTO_HISTO1D_HH +#define MLN_ACCU_HISTO_HISTO1D_HH /// \file /// -/// \brief Define a histogram as an accumulator which returns an image1d . +/// \brief Define a histogram as accumulator which returns an image1d. +/// +/// This source implements the discrete histogram version. It was +/// created for images which the values are derived from integer +/// type. The number of beans is directly infered from the cardinality +/// of the image value. So the int_u8 image has got 256 bins, the +/// int_u<14> image has got 16384 bins. But, this code doesn't work +/// for that quantification because of the coord limitation (signed +/// short, as it is defined in mln/core/def/coord.hh). /// -/// This source implements the discrete histogram version. The number of beans -/// is infer from the number of graylevels. A typical int_u8 image has got -/// 256 bins. An int_u<14> image has got 16384 bins. /// The following sample is a typical use of the histogram. /// -/// #include <mln/value/int_u8.hh> +/// #include <mln/accu/histo/histo1d.hh> +/// #include <mln/data/compute.hh> /// #include <mln/core/image/image1d.hh> /// #include <mln/core/image/image2d.hh> +/// #include <mln/img_path.hh> /// #include <mln/io/pgm/load.hh> -/// #include <mln/accu/stat/histo1d.hh> -/// #include <mln/data/compute.hh> -/// -/// #define OLENA_LENA "/usr/local/share/olena/images/lena.pgm" +/// #include <mln/value/int_u8.hh> /// -/// void test() +/// int main() /// { -/// typedef mln::value::int_u8 int_u8; -/// mln::image2d<int_u8> img_ref; -/// mln::image1d<unsigned> img_res; +/// typedef mln::value::int_u8 t_int_u8; +/// mln::image2d<t_int_u8> img; +/// mln::image1d<unsigned> histo; +/// +/// mln::io::pgm::load(img, OLENA_IMG_PATH"/lena.pgm"); +/// histo = mln::data::compute(mln::accu::meta::histo::histo1d(), img); /// -/// mln::io::pgm::load(img_ref, OLENA_LENA); -/// img_res = mln::data::compute(mln::accu::meta::stat::histo1d(), img_ref); +/// return 0; /// } @@ -80,20 +85,20 @@ namespace mln namespace accu { - namespace stat + namespace histo { // Forward declaration template <typename V> struct histo1d; - } // end of namespace mln::accu::stat + } // end of namespace mln::accu::histo namespace meta { - namespace stat + namespace histo { struct histo1d : public Meta_Accumulator<histo1d> @@ -101,11 +106,11 @@ namespace mln template <typename V> struct with { - typedef accu::stat::histo1d<V> ret; + typedef accu::histo::histo1d<V> ret; }; }; - } // end of namespace mln::accu::meta::stat + } // end of namespace mln::accu::meta::histo } // end of namespace mln::accu::meta @@ -115,7 +120,7 @@ namespace mln { template <typename V> - struct accumulator_< mln::accu::stat::histo1d<V> > + struct accumulator_< mln::accu::histo::histo1d<V> > { typedef accumulator::has_untake::no has_untake; typedef accumulator::has_set_value::no has_set_value; @@ -125,8 +130,8 @@ namespace mln template <typename V> struct set_precise_binary_<op::eq, - accu::stat::histo1d<V>, - accu::stat::histo1d<V> > + accu::histo::histo1d<V>, + accu::histo::histo1d<V> > { typedef bool ret; }; @@ -136,7 +141,7 @@ namespace mln namespace accu { - namespace stat + namespace histo { /// \brief Define an histogram which returns an image1d . @@ -152,7 +157,7 @@ namespace mln template <typename V> struct histo1d : - public mln::accu::internal::base<image1d<unsigned>, histo1d<V> > + public mln::accu::internal::base< image1d<unsigned>,histo1d<V> > { typedef V argument; typedef image1d<unsigned> result; @@ -230,7 +235,7 @@ namespace mln inline histo1d<V>::histo1d() { - trace::entering("mln::accu::stat::histo1d<V>::histo1d"); + trace::entering("mln::accu::histo::histo1d::cstor"); typedef mln_trait_value_comp(V,0) comp; typedef point<grid::tick, V> v_point1d; typedef box<v_point1d> v_box1d; @@ -242,33 +247,26 @@ namespace mln count_.init_(box1d(point1d(mln_min(comp)), point1d(mln_max(comp)))); -// std::cout << "min : " << mln_min(comp) << std::endl; -// std::cout << "max : " << mln_max(comp) << std::endl; + // std::cout << "min : " << mln_min(comp) << std::endl; + // std::cout << "max : " << mln_max(comp) << std::endl; - trace::exiting("mln::accu::stat::histo1d<V>::histo1d"); + trace::exiting("mln::accu::histo::histo1d::cstor"); } template <typename V> inline void histo1d<V>::init() { - trace::entering("mln::accu::stat::histo1d<V>::init"); - data::fill(count_, 0); - trace::exiting("mln::accu::stat::histo1d<V>::init"); } template <typename V> inline void histo1d<V>::take(const argument& t) { - trace::entering("mln::accu::stat::histo1d<V>::take"); - // Just convert a graylevel value (int_u8 like) to a position for an // iterator on the resulting image. ++count_(point1d(t)); - - trace::exiting("mln::accu::stat::histo1d<V>::take"); } @@ -276,20 +274,13 @@ namespace mln inline void histo1d<V>::take(const histo1d<V>& other) { - trace::entering("mln::accu::stat::histo1d<V>::take"); - count_ += other.count_; - - trace::exiting("mln::accu::stat::histo1d<V>::take"); } template <typename V> inline typename histo1d<V>::result histo1d<V>::to_result() const { - trace::entering("mln::accu::stat::histo1d<V>::to_result"); - - trace::exiting("mln::accu::stat::histo1d<V>::to_result"); return count_; } @@ -297,9 +288,6 @@ namespace mln inline histo1d<V>::operator result() const { - trace::entering("mln::accu::stat::histo1d<V>::operator result"); - - trace::exiting("mln::accu::stat::histo1d<V>::operator result"); return count_; } @@ -307,17 +295,15 @@ namespace mln inline bool histo1d<V>::is_valid() const { - trace::entering("mln::accu::stat::histo1d<V>::is_valid"); bool result = count_.is_valid(); - trace::exiting("mln::accu::stat::histo1d<V>::is_valid"); return result; } template <typename V> bool operator==(const histo1d<V>& histo1, const histo1d<V>& histo2) { - trace::entering("mln::accu::stat::operator=="); + trace::entering("mln::accu::histo::histo1d::operator=="); bool result = true; const image1d<unsigned>& res1 = histo1.to_result(); @@ -332,17 +318,17 @@ namespace mln for_all_2(p1, p2) result &= (res1(p1) == res2(p2)); - trace::exiting("mln::accu::stat::operator=="); + trace::exiting("mln::accu::histo::histo1d::operator=="); return result; } #endif // ! MLN_INCLUDE_ONLY - } // end of namespace mln::accu::stat + } // end of namespace mln::accu::histo } // end of namespace mln::accu } // end of namespace mln -#endif // ! MLN_ACCU_STAT_HISTO1D_HH +#endif // ! MLN_ACCU_HISTO_HISTO1D_HH diff --git a/milena/sandbox/green/mln/accu/stat/histo2d.hh b/scribo/sandbox/green/ok/mln/accu/histo/histo2d.hh similarity index 100% copy from milena/sandbox/green/mln/accu/stat/histo2d.hh copy to scribo/sandbox/green/ok/mln/accu/histo/histo2d.hh diff --git a/milena/sandbox/green/mln/accu/stat/histo3d_rgb.hh b/scribo/sandbox/green/ok/mln/accu/histo/histo3d.hh similarity index 100% copy from milena/sandbox/green/mln/accu/stat/histo3d_rgb.hh copy to scribo/sandbox/green/ok/mln/accu/histo/histo3d.hh diff --git a/milena/sandbox/green/mln/img_path.hh b/scribo/sandbox/green/ok/mln/img_path.hh similarity index 100% copy from milena/sandbox/green/mln/img_path.hh copy to scribo/sandbox/green/ok/mln/img_path.hh diff --git a/milena/sandbox/green/tests/accu/stat/histo1d/gaussian.sh b/scribo/sandbox/green/ok/test/accu/histo/gaussian.sh similarity index 100% copy from milena/sandbox/green/tests/accu/stat/histo1d/gaussian.sh copy to 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+#include <mln/core/image/image2d.hh> +#include <mln/img_path.hh> +#include <mln/io/pgm/load.hh> +#include <mln/value/int_u8.hh> + +int main() +{ + typedef mln::value::int_u8 t_int_u8; + mln::image2d<t_int_u8> img; + mln::image1d<unsigned> histo; + + mln::io::pgm::load(img, OLENA_IMG_PATH"/lena.pgm"); + histo = mln::data::compute(mln::accu::meta::histo::histo1d(), img); + + return 0; +} + +// #include <mln/img_path.hh> + +// #include <mln/io/plot/save_histo_sh.hh> +// #include <mln/accu/stat/histo1d.hh> +// #include <mln/fun/v2v/int_u16_to_int_u14.hh> + +// #include <mln/io/pgm/load.hh> +// #include <mln/io/pgm/save.hh> +// #include <mln/io/ppm/save.hh> +// #include <mln/io/plot/save.hh> + +// #include <mln/data/compute.hh> +// #include <mln/data/transform.hh> +// #include <mln/data/fill.hh> + +// #include <mln/value/int_u8.hh> +// #include <mln/value/int_u16.hh> +// #include <mln/value/int_u.hh> +// #include <mln/value/label_8.hh> +// #include <mln/value/rgb8.hh> + +// #include <mln/core/alias/neighb1d.hh> +// #include <mln/core/alias/box1d.hh> +// #include <mln/core/alias/point1d.hh> + +// #include <mln/core/routine/initialize.hh> +// #include <mln/core/contract.hh> +// #include <mln/core/grids.hh> + +// #include <mln/accu/math/sum.hh> +// #include <mln/accu/math/count.hh> +// #include <mln/accu/stat/mean.hh> +// #include <mln/accu/stat/variance.hh> + +// #include <mln/morpho/watershed/flooding.hh> +// #include <mln/morpho/elementary/dilation.hh> +// #include <mln/morpho/elementary/closing.hh> + +// #include <mln/linear/convolve.hh> +// #include <mln/linear/gaussian.hh> +// #include <mln/labeling/regional_maxima.hh> +// #include <mln/labeling/colorize.hh> +// #include <mln/labeling/mean_values.hh> + +// #include <mln/make/w_window1d.hh> + +// #include <mln/math/sqr.hh> +// #include <mln/math/pi.hh> +// #include <mln/math/abs.hh> + +// #include <mln/core/image/dmorph/image_if.hh> +// #include <mln/pw/value.hh> + +// //------------------------------------------------------------------------------ +// // TEST IN 8 BITS +// //------------------------------------------------------------------------------ + + +// void test_8bits_operator_equal() +// { +// using namespace mln::accu::stat; + +// typedef mln::value::int_u8 int_u8; +// mln::accu::stat::histo1d<int_u8> histo1; +// mln::accu::stat::histo1d<int_u8> histo2; +// int_u8 val = 3; + +// histo1.init(); +// histo2.init(); + +// mln_assertion(histo1 == histo2); + +// histo1.take(val); + +// mln_assertion(histo1 != histo2); + +// histo2.take(val); + +// mln_assertion(histo1 == histo2); + +// std::cout << "(08 bits) histo == histo : ok" << std::endl; +// } + +// void test_8bits_instantiation_without_argument() +// { +// typedef mln::value::int_u8 int_u8; +// const mln::accu::stat::histo1d<int_u8> histo; +// const mln::image1d<unsigned>& res = histo.to_result(); +// const mln::point1d& min = mln::point1d(mln_min(int_u8)); +// const mln::point1d& max = mln::point1d(mln_max(int_u8)); +// const mln::box1d& ref = mln::box1d(min, max); + +// mln_assertion(ref == res.domain()); +// mln_assertion(res.is_valid()); + +// std::cout << "(08 bits) histo<T> histo : ok" << std::endl; +// } + + +// void test_8bits_initialization() +// { +// typedef mln::value::int_u8 int_u8; +// mln::accu::stat::histo1d<int_u8> histo; +// mln::image1d<unsigned> img_res = histo.to_result(); +// mln::image1d<unsigned> img_ref; + +// mln::initialize(img_ref, img_res); +// mln::data::fill(img_ref, 0); +// histo.init(); + +// unsigned res = mln::data::compute(mln::accu::math::sum<int_u8>(), img_res); +// unsigned ref = mln::data::compute(mln::accu::math::sum<int_u8>(), img_ref); + +// mln_assertion(ref == res); + +// std::cout << "(08 bits) histo.init() : ok" << std::endl; +// } + + +// void test_8bits_take_argument() +// { +// typedef mln::value::int_u8 int_u8; +// mln::accu::stat::histo1d<int_u8> histo1; +// mln::accu::stat::histo1d<int_u8> histo2; +// int_u8 val = 3; + +// histo1.init(); +// histo2.init(); +// histo1.take(val); + +// const mln::image1d<unsigned> img1 = histo1.to_result(); +// const mln::image1d<unsigned> img2 = histo2.to_result(); + +// const unsigned res = mln::data::compute(mln::accu::math::sum<int_u8>(), img1); +// const unsigned ref = mln::data::compute(mln::accu::math::sum<int_u8>(), img2); + +// mln_assertion(ref == res-1); +// mln_assertion(1 == img1(mln::point1d(val))); + +// std::cout << "(08 bits) histo.take(argument) : ok" << std::endl; +// } + + +// void test_8bits_take_other() +// { +// typedef mln::value::int_u8 int_u8; +// mln::accu::stat::histo1d<int_u8> histo1; +// mln::accu::stat::histo1d<int_u8> histo2; +// mln::accu::stat::histo1d<int_u8> histo3; +// int_u8 val = 3; + +// histo1.init(); +// histo2.init(); +// histo3.init(); + +// histo1.take(val); +// histo1.take(val); +// histo3.take(val); +// histo2.take(val); +// histo2.take(histo3); + +// mln_assertion(histo1 == histo2); + +// std::cout << "(08 bits) histo.take(other) : ok" << std::endl; +// } + +// double count_histo(mln::image1d<unsigned> img) +// { +// mln_precondition(img.is_valid()); + +// double result = 0.0; +// mln_piter_(mln::image1d<unsigned>) p(img.domain()); + +// for_all(p) +// result += img(p); + +// return result; +// } + +// double mean_histo(mln::image1d<unsigned> img) +// { +// mln_precondition(img.is_valid()); + +// double count = 0.0; +// double sum = 0.0; +// double result = 0.0; +// mln_piter_(mln::image1d<unsigned>) p(img.domain()); + +// for_all(p) +// { +// count += img(p); +// sum += p[0] * img(p); +// } + +// result = sum / count; + +// return result; +// } + + +// double var_histo(mln::image1d<unsigned> img) +// { +// mln_precondition(img.is_valid()); + +// double count = 0.0; +// double sum = 0.0; +// double sum2 = 0.0; +// double result = 0.0; +// mln_piter_(mln::image1d<unsigned>) p(img.domain()); + +// for_all(p) +// { +// count += img(p); +// sum += p[0] * img(p); +// sum2 += p[0] * p[0] * img(p); +// } + +// result = sum2 / count - (sum / count) * (sum / count); + +// return result; +// } + +// double var_histo2(mln::image1d<unsigned> img) +// { +// mln_precondition(img.is_valid()); + +// double count = count_histo(img); +// double mean = mean_histo(img); +// double result = 0.0; +// mln_piter_(mln::image1d<unsigned>) p(img.domain()); + +// for_all(p) +// { +// result += img(p) * (p[0] - mean) * (p[0] - mean); +// } + +// result /= count; + +// return result; +// } + +// void test_8bits_integration() +// { +// typedef mln::value::int_u8 int_u8; +// typedef mln::accu::math::count<double> count; +// typedef mln::accu::math::sum<double> sum; +// typedef mln::accu::stat::mean<double> mean; +// typedef mln::accu::stat::variance<double> variance; + +// mln::image2d<int_u8> img_ref; +// mln::image1d<unsigned> img_res; + +// mln::io::pgm::load(img_ref, OLENA_IMG_PATH"/lena.pgm"); + +// const double count_ref = mln::data::compute(count(), img_ref); +// const double mean_ref = mln::data::compute(mean(), img_ref); +// const double var_ref = mln::data::compute(variance(), img_ref); + +// img_res = mln::data::compute(mln::accu::meta::stat::histo1d(), img_ref); +// // img_res = mln::data::compute(mln::accu::stat::histo1d<int_u8>(), img_ref); + +// const double count_res = count_histo(img_res); +// const double mean_res = mean_histo(img_res); +// const double var_res = var_histo(img_res); + +// mln_assertion(count_ref == count_res); +// mln_assertion( mean_ref == mean_res ); +// mln_assertion(0.0001 > abs(var_ref - var_res)); + +// std::cout << "(08 bits) test integration : ok" << std::endl; +// } + +// double gaussian_distribution(double x, double mean, double sigma) +// { +// double num = exp(-0.5*mln::math::sqr((x - mean)/sigma)); +// double denom = sigma*mln::math::sqrt(2*mln::math::pi); +// double result = num/denom; + +// return result; +// } + +// /// To calibrate with gnuplot (see gaussian.sh) +// /// square(x) = x*x +// /// gaussian(x,mean,sigma)=exp(-0.5*square((x-mean)/sigma))/(sigma*sqrt(2*pi)) +// /// plot [-20:20] gaussian(x,0,6.0) + +// void gaussian_filter(double ws[], unsigned size, double sigma) +// { +// int h = size/2; + +// for (int i = -h; i <= h; ++i) +// { +// ws[i+h] = gaussian_distribution(i, 0.0, sigma); +// } + +// double sum = 0.0; + +// for (unsigned i = 0; i < size; ++i) +// sum += ws[i]; + +// for (unsigned i = 0; i < size; ++i) +// ws[i] /= sum; +// } + +// /// The aim of this function is to rebuild an label image2d from the segmenting +// /// image of the histogram (label) and the original image (input). +// /// label_image2d / for each grey tone, associate its label. + +// mln::image2d<mln::value::label_8> +// build_8bits(const mln::image2d<mln::value::int_u8>& input, +// const mln::image1d<mln::value::label_8>& label) +// { +// mln::trace::entering("build_8bits"); +// mln_precondition(label.is_valid()); +// mln_precondition(input.is_valid()); + +// mln::image2d<mln::value::label_8> output; + +// mln::initialize(output, input); + +// mln_piter_(mln::image2d<mln::value::int_u8>) pi(input.domain()); +// mln_piter_(mln::image2d<mln::value::label_8>) po(output.domain()); + +// for_all_2(pi, po) +// { +// mln::value::int_u8 val = input(pi); +// unsigned grp = label(mln::point1d(val)); + +// output(po) = grp; +// } + +// mln::trace::exiting("build_8bits"); +// return output; +// } + + +// void test_8bits_classifying() +// { +// typedef mln::value::int_u8 int_u8; +// typedef mln::value::label_8 label_8; +// typedef mln::value::rgb8 rgb8; +// typedef mln::accu::stat::mean<double> mean; + +// mln::image2d<int_u8> img_ref; +// mln::image2d<int_u8> img_out; +// mln::image2d<rgb8> img_rgb; +// mln::image1d<unsigned> img_res; +// mln::image1d<double> img_smooth; +// mln::image1d<label_8> labels; +// label_8 nlabels; + +// //----------------------------------------------------- +// // Loading the scribo image and computing its histogram +// //----------------------------------------------------- + +// std::cout << "(08 bits) LOADING HISTOGRAM" << std::endl; + +// // mln::io::pgm::load(img_ref, OLENA_IMG_PATH"/lena.pgm"); +// mln::io::pgm::load(img_ref, SCRIBO_IMG_PATH"/mp00082c_50p_8bits.pgm"); +// img_res = mln::data::compute(mln::accu::stat::histo1d<int_u8>(), img_ref); +// mln::io::plot::save_histo_sh(img_res, "histo0_8bits.sh"); + + +// //----------------------------------------------------- +// // Smoothing the histogram with a gaussian filter +// //----------------------------------------------------- + +// std::cout << "(08 bits) SMOOTHING HISTOGRAM" << std::endl; + +// double ws[41]; +// gaussian_filter(ws, 41, 6.0); +// img_smooth = mln::linear::convolve(img_res, mln::make::w_window1d(ws)); +// mln::io::plot::save_histo_sh(img_smooth, "histo1_8bits.sh"); + + +// //----------------------------------------------------- +// // Segmenting the histogram with the watershed method +// //----------------------------------------------------- + +// std::cout << "SEGMENTING HISTOGRAM" << std::endl; + +// /* +// labels = mln::labeling::regional_maxima(img_smooth, mln::c2(), nlabels); +// std::cout << "N labels : " << nlabels << std::endl; +// mln::io::plot::save_histo_sh(labels, "histo2_8bits.sh"); +// */ + + +// labels = mln::morpho::watershed::flooding(img_smooth, mln::c2(), nlabels); +// std::cout << "N labels : " << nlabels << std::endl; +// mln::io::plot::save_histo_sh(labels, "histo2_8bits.sh"); + + +// //----------------------------------------------------- +// // Rebuilding the image with the mean of each region +// //----------------------------------------------------- + +// std::cout << "(08 bits) BUILDING OUTPUT" << std::endl; + +// mln::image2d<label_8>img_label = build_8bits(img_ref, labels); + +// std::cout << "(08 bits) COLORING OUTPUT" << std::endl; + +// img_out = mln::labeling::mean_values(img_ref, img_label, nlabels); +// img_rgb = mln::labeling::colorize(rgb8(), img_label); + +// mln::io::pgm::save(img_out, "out_8bits.pgm"); +// mln::io::ppm::save(img_rgb, "color_8bits.pgm"); + +// //labels = mln::morpho::elementary::dilation(labels, mln::c2()); +// //mln::io::plot::save_histo_sh(labels, "histo3.sh"); +// //mln::io::plot::save(labels, "labelized.data"); +// } + +// //------------------------------------------------------------------------------ +// // TEST IN 15 BITS +// //------------------------------------------------------------------------------ + +// void test_14bits_operator_equal() +// { +// using namespace mln::accu::stat; + +// typedef mln::value::int_u<14> int_u14; +// mln::accu::stat::histo1d<int_u14> histo1; +// mln::accu::stat::histo1d<int_u14> histo2; +// int_u14 val = 3; + +// histo1.init(); +// histo2.init(); + +// mln_assertion(histo1 == histo2); + +// histo1.take(val); + +// /// FIXME mln_assertion(histo1 != histo2); doesn't work!! +// mln_assertion(!(histo1 == histo2)); + +// histo2.take(val); + +// mln_assertion(histo1 == histo2); + +// std::cout << "(14 bits) histo == histo : ok" << std::endl; +// } + +// void test_14bits_instantiation_without_argument() +// { +// typedef mln::value::int_u<14> int_u14; +// const mln::accu::stat::histo1d<int_u14> histo; +// const mln::image1d<unsigned>& res = histo.to_result(); +// const mln::point1d& min =mln::point1d(mln_min(int_u14)); +// const mln::point1d& max =mln::point1d(mln_max(int_u14)); +// const mln::box1d& ref = mln::box1d(min, max); + +// mln_assertion(ref == res.domain()); +// mln_assertion(res.is_valid()); + +// std::cout << "(14 bits) histo<T> histo : ok" << std::endl; +// } + + +// void test_14bits_initialization() +// { +// typedef mln::value::int_u<14> int_u14; +// mln::accu::stat::histo1d<int_u14> histo; +// mln::image1d<unsigned> img_res = histo.to_result(); +// mln::image1d<unsigned> img_ref; + +// mln::initialize(img_ref, img_res); +// mln::data::fill(img_ref, 0); +// histo.init(); + +// unsigned res = mln::data::compute(mln::accu::math::sum<int_u14>(), img_res); +// unsigned ref = mln::data::compute(mln::accu::math::sum<int_u14>(), img_ref); + +// mln_assertion(ref == res); + +// std::cout << "(14 bits) histo.init() : ok" << std::endl; +// } + + +// void test_14bits_take_argument() +// { +// typedef mln::value::int_u<14> int_u14; +// mln::accu::stat::histo1d<int_u14> histo1; +// mln::accu::stat::histo1d<int_u14> histo2; +// int_u14 val = 3; + +// histo1.init(); +// histo2.init(); +// histo1.take(val); + +// const mln::image1d<unsigned> img1 = histo1.to_result(); +// const mln::image1d<unsigned> img2 = histo2.to_result(); + +// const unsigned res = mln::data::compute(mln::accu::math::sum<int_u14>(),img1); +// const unsigned ref = mln::data::compute(mln::accu::math::sum<int_u14>(),img2); + +// mln_assertion(ref == res-1); +// mln_assertion(1 == img1(mln::point1d(val))); + +// std::cout << "(14 bits) histo.take(argument) : ok" << std::endl; +// } + + +// void test_14bits_take_other() +// { +// typedef mln::value::int_u<14> int_u14; +// mln::accu::stat::histo1d<int_u14> histo1; +// mln::accu::stat::histo1d<int_u14> histo2; +// mln::accu::stat::histo1d<int_u14> histo3; +// int_u14 val = 3; + +// histo1.init(); +// histo2.init(); +// histo3.init(); + +// histo1.take(val); +// histo1.take(val); +// histo3.take(val); +// histo2.take(val); +// histo2.take(histo3); + +// mln_assertion(histo1 == histo2); + +// std::cout << "(14 bits) histo.take(other) : ok" << std::endl; +// } + +// void test_14bits_integration() +// { +// typedef mln::value::int_u16 int_u16; +// typedef mln::value::int_u<14> int_u14; +// typedef mln::accu::math::count<double> count; +// typedef mln::accu::math::sum<double> sum; +// typedef mln::accu::stat::mean<double> mean; +// typedef mln::accu::stat::variance<double> variance; + +// mln::image2d<int_u16> img_fst; +// mln::image2d<int_u14> img_ref; +// mln::image1d<unsigned> img_res; + +// mln::io::pgm::load(img_fst, OLENA_IMG_PATH"/lena_16.pgm"); +// img_ref = mln::data::transform(img_fst, mln::fun::v2v::int_u16_to_int_u14()); + +// const double count_ref = mln::data::compute(count(), img_ref); +// const double mean_ref = mln::data::compute(mean(), img_ref); +// const double var_ref = mln::data::compute(variance(), img_ref); + +// img_res = mln::data::compute(mln::accu::stat::histo1d<int_u14>(), img_ref); + +// const double count_res = count_histo(img_res); +// const double mean_res = mean_histo(img_res); +// const double var_res = var_histo2(img_res); + +// //std::cout << "var_res : " << var_res << std::endl; +// //std::cout << "var_ref : " << var_ref << std::endl; + +// mln_assertion(count_ref == count_res); +// mln_assertion( mean_ref == mean_res ); +// mln_assertion(0.0001 > abs(var_ref - var_res)); + +// std::cout << "(14 bits) test integration : ok" << std::endl; +// } + +// /// The aim of this function is to rebuild an label image2d from the segmenting +// /// image of the histogram (label) and the original image (input). +// /// label_image2d / for each grey tone, associate its label. + +// mln::image2d<mln::value::label_8> +// build_14bits(const mln::image2d<mln::value::int_u<14> >& input, +// const mln::image1d<mln::value::label_8>& label) +// { +// mln::trace::entering("build_14bits"); +// mln_precondition(label.is_valid()); +// mln_precondition(input.is_valid()); + +// mln::image2d<mln::value::label_8> output; + +// mln::initialize(output, input); + +// mln_piter_(mln::image2d<mln::value::int_u<14> >) pi(input.domain()); +// mln_piter_(mln::image2d<mln::value::label_8>) po(output.domain()); + +// for_all_2(pi, po) +// { +// mln::value::int_u<14> val = input(pi); +// unsigned grp = label(mln::point1d(val)); + +// output(po) = grp; +// } + +// mln::trace::exiting("build_14bits"); +// return output; +// } + + +// void test_14bits_classifying() +// { +// typedef mln::value::int_u16 int_u16; +// typedef mln::value::int_u<14> int_u14; +// typedef mln::value::label_8 label_8; +// typedef mln::value::rgb8 rgb8; +// typedef mln::accu::stat::mean<double> mean; + +// mln::image2d<int_u16> img_fst; +// mln::image2d<int_u14> img_ref; +// mln::image2d<int_u14> img_out; +// mln::image2d<rgb8> img_rgb; +// mln::image1d<unsigned> img_res; +// mln::image1d<double> img_smooth; +// mln::image1d<label_8> labels; +// label_8 nlabels; + +// //----------------------------------------------------- +// // Loading the scribo image and computing its histogram +// //----------------------------------------------------- + +// std::cout << "(14 bits) LOADING HISTOGRAM" << std::endl; + +// //mln::io::pgm::load(img_fst, OLENA_IMG_PATH"/lena_16.pgm"); +// mln::io::pgm::load(img_fst, SCRIBO_IMG_PATH"/mp00082c_50p_16bits.pgm"); +// img_ref = mln::data::transform(img_fst, mln::fun::v2v::int_u16_to_int_u14()); +// img_res = mln::data::compute(mln::accu::stat::histo1d<int_u14>(), img_ref); +// mln::io::plot::save_histo_sh(img_res, "histo0_14bits.sh"); + + +// //----------------------------------------------------- +// // Smoothing the histogram with a gaussian filter +// //----------------------------------------------------- + +// std::cout << "(14 bits) SMOOTHING HISTOGRAM" << std::endl; + +// double ws[401]; +// gaussian_filter(ws, 401, 50.0); +// img_smooth = mln::linear::convolve(img_res, mln::make::w_window1d(ws)); +// mln::io::plot::save_histo_sh(img_smooth, "histo1_14bits.sh"); + + +// //----------------------------------------------------- +// // Segmenting the histogram with the watershed method +// //----------------------------------------------------- + +// std::cout << "(14 bits) SEGMENTING HISTOGRAM" << std::endl; + +// /* +// labels = mln::labeling::regional_maxima(img_smooth, mln::c2(), nlabels); +// std::cout << "N labels : " << nlabels << std::endl; +// mln::io::plot::save_histo_sh(labels, "histo2.sh"); +// */ + + +// labels = mln::morpho::watershed::flooding(img_smooth, mln::c2(), nlabels); +// std::cout << "N labels : " << nlabels << std::endl; +// mln::io::plot::save_histo_sh(labels, "histo2_14bits.sh"); + + +// //----------------------------------------------------- +// // Rebuilding the image with the mean of each region +// //----------------------------------------------------- + +// std::cout << "(14 bits) BUILDING OUTPUT" << std::endl; + +// mln::image2d<label_8>img_label = build_14bits(img_ref, labels); + +// std::cout << "(14 bits) COLORING OUTPUT" << std::endl; + +// img_out = mln::labeling::mean_values(img_ref, img_label, nlabels); +// img_rgb = mln::labeling::colorize(rgb8(), img_label); + +// mln::io::pgm::save(img_out, "out_14bits.pgm"); +// mln::io::ppm::save(img_rgb, "color_14bits.pgm"); + +// //labels = mln::morpho::elementary::dilation(labels, mln::c2()); +// //mln::io::plot::save_histo_sh(labels, "histo3.sh"); +// //mln::io::plot::save(labels, "labelized.data"); +// } + +// int main() +// { +// test_8bits_operator_equal(); +// /* +// test_8bits_instantiation_without_argument(); +// test_8bits_initialization(); +// test_8bits_take_argument(); +// test_8bits_take_other(); +// test_8bits_operator_equal(); +// */ +// //test_8bits_integration(); + +// //test_8bits_classifying(); + +// // PROBLEME AVEC LES COORDONNEES PAR DEFAUT QUI SONT EN SIGNED SHORT +// // SEE mln/core/def/coord.hh +// /* +// test_14bits_instantiation_without_argument(); +// test_14bits_initialization(); +// test_14bits_take_argument(); +// test_14bits_take_other(); +// test_14bits_operator_equal(); +// test_14bits_integration(); +// */ +// //test_14bits_classifying(); + +// return 0; +// } -- 1.5.6.5

14 years, 2 months

last-svn-commit-40-g30dc3f0 Import files from milena/sandbox/green.

by Yann Jacquelet

* mln/accu/stat/histo1d.hh: New header file. * mln/accu/stat/histo2d.hh: New header file. * mln/accu/stat/histo3d_hsl.hh: New header file. * mln/accu/stat/histo3d_rgb.hh: New header file. * mln/clustering/k_mean.hh: New header file. * mln/clustering/kmean1d.hh: New header file. * mln/clustering/kmean2d.hh: New header file. * mln/clustering/kmean3d.hh: New header file. * mln/clustering/kmean_rgb.hh: New header file. * mln/display/display_histo.hh: New header file. * mln/display/project_histo.hh: New header file. * mln/fun/p2b/achromatic.hh: New header file. * mln/fun/p2b/component_equals.hh: New header file. * mln/fun/v2v/achromatism.hh: New header file. * mln/fun/v2v/hue_concentration.hh: New header file. * mln/fun/v2v/int_u16_to_int_u14.hh: New header file. * mln/fun/v2v/int_u16_to_int_u14.hh: New header file. * mln/fun/v2v/log.hh: New header file. * mln/fun/v2v/rg_to_rgb.hh: New header file. * mln/fun/v2v/rgb8_to_int_u8: New header file. * mln/fun/v2v/rgb_to_achromastism_map.hh: New header file. * mln/fun/v2v/rgb_to_hsv.hh: New header file. * mln/fun/v2v/rgb_to_hue_map.hh: New header file. * mln/fun/v2v/rgb_to_saturation_map.hh: New header file. * mln/fun/v2v/rgb_to_value_map.hh: New header file. * mln/img_path.hh: New header file. * mln/io/plot/save_image_sh.hh: New header file. * mln/math/cell.hh: New header file. * mln/math/floor.hh: New header file. * tests/accu/stat/histo1d/Makefile.am: New makefile. * tests/accu/stat/histo1d/histo1d.cc: New source. * tests/accu/stat/histo2d/Makefile.am: New makefile. * tests/accu/stat/histo2d/histo2d.cc: New source. --- scribo/sandbox/green/ChangeLog | 47 + scribo/sandbox/green/README | 223 ++++- scribo/sandbox/green/mln/accu/stat/histo1d.hh | 340 +++++++ scribo/sandbox/green/mln/accu/stat/histo2d.hh | 358 +++++++ .../sandbox/green/mln/accu/stat/histo3d_hsl.hh | 0 .../sandbox/green/mln/accu/stat/histo3d_rgb.hh | 0 .../sandbox/green/mln/clustering/k_mean.hh | 0 .../sandbox/green/mln/clustering/kmean1d.hh | 0 .../sandbox/green/mln/clustering/kmean2d.hh | 0 .../sandbox/green/mln/clustering/kmean3d.hh | 0 .../sandbox/green/mln/clustering/kmean_rgb.hh | 0 .../sandbox/green/mln/display/display_histo.hh | 0 .../sandbox/green/mln/display/project_histo.hh | 0 .../sandbox/green/mln/fun/p2b/achromatic.hh | 0 .../sandbox/green/mln/fun/p2b/component_equals.hh | 0 .../sandbox/green/mln/fun/v2v/achromatism.hh | 0 .../sandbox/green/mln/fun/v2v/hue_concentration.hh | 0 .../green/mln/fun/v2v/int_u16_to_int_u14.hh | 0 .../sandbox/green/mln/fun/v2v/log.hh | 0 .../sandbox/green/mln/fun/v2v/rg_to_rgb.hh | 0 .../sandbox/green/mln/fun/v2v/rgb8_to_int_u8.hh | 0 .../sandbox/green/mln/fun/v2v/rgb8_to_rgbn.hh | 0 .../green/mln/fun/v2v/rgb_to_achromatism_map.hh | 0 .../sandbox/green/mln/fun/v2v/rgb_to_hsv.hh | 0 .../sandbox/green/mln/fun/v2v/rgb_to_hue_map.hh | 0 scribo/sandbox/green/mln/fun/v2v/rgb_to_rg.hh | 111 ++ .../green/mln/fun/v2v/rgb_to_saturation_map.hh | 0 .../sandbox/green/mln/fun/v2v/rgb_to_value_map.hh | 0 {milena => scribo}/sandbox/green/mln/img_path.hh | 0 scribo/sandbox/green/mln/io/plot/save_image_sh.hh | 1056 ++++++++++++++++++++ {milena => scribo}/sandbox/green/mln/math/ceil.hh | 0 {milena => scribo}/sandbox/green/mln/math/floor.hh | 0 {milena => scribo}/sandbox/green/mln/value/hsv.hh | 0 scribo/sandbox/green/mln/value/rg.hh | 175 ++++ .../green/tests/accu/stat/histo1d/Makefile.am | 153 +++ .../green/tests/accu/stat/histo1d/histo1d.cc | 21 + .../green/use/accu/stat/histo1d/Makefile.am | 153 +++ .../sandbox/green/use/accu/stat/histo1d/histo1d.cc | 24 + .../green/use/accu/stat/histo2d/Makefile.am | 153 +++ .../sandbox/green/use/accu/stat/histo2d/histo2d.cc | 33 + 40 files changed, 2829 insertions(+), 18 deletions(-) create mode 100644 scribo/sandbox/green/mln/accu/stat/histo1d.hh create mode 100644 scribo/sandbox/green/mln/accu/stat/histo2d.hh copy {milena => scribo}/sandbox/green/mln/accu/stat/histo3d_hsl.hh (100%) copy {milena => scribo}/sandbox/green/mln/accu/stat/histo3d_rgb.hh (100%) copy {milena => scribo}/sandbox/green/mln/clustering/k_mean.hh (100%) copy {milena => scribo}/sandbox/green/mln/clustering/kmean1d.hh (100%) copy {milena => scribo}/sandbox/green/mln/clustering/kmean2d.hh (100%) copy {milena => scribo}/sandbox/green/mln/clustering/kmean3d.hh (100%) copy {milena => scribo}/sandbox/green/mln/clustering/kmean_rgb.hh (100%) copy {milena => scribo}/sandbox/green/mln/display/display_histo.hh (100%) copy {milena => scribo}/sandbox/green/mln/display/project_histo.hh (100%) copy {milena => scribo}/sandbox/green/mln/fun/p2b/achromatic.hh (100%) copy {milena => scribo}/sandbox/green/mln/fun/p2b/component_equals.hh (100%) copy {milena => scribo}/sandbox/green/mln/fun/v2v/achromatism.hh (100%) copy {milena => scribo}/sandbox/green/mln/fun/v2v/hue_concentration.hh (100%) copy {milena => scribo}/sandbox/green/mln/fun/v2v/int_u16_to_int_u14.hh (100%) copy {milena => scribo}/sandbox/green/mln/fun/v2v/log.hh (100%) copy {milena => scribo}/sandbox/green/mln/fun/v2v/rg_to_rgb.hh (100%) copy {milena => scribo}/sandbox/green/mln/fun/v2v/rgb8_to_int_u8.hh (100%) copy {milena => scribo}/sandbox/green/mln/fun/v2v/rgb8_to_rgbn.hh (100%) copy {milena => scribo}/sandbox/green/mln/fun/v2v/rgb_to_achromatism_map.hh (100%) copy {milena => scribo}/sandbox/green/mln/fun/v2v/rgb_to_hsv.hh (100%) copy {milena => scribo}/sandbox/green/mln/fun/v2v/rgb_to_hue_map.hh (100%) create mode 100644 scribo/sandbox/green/mln/fun/v2v/rgb_to_rg.hh copy {milena => scribo}/sandbox/green/mln/fun/v2v/rgb_to_saturation_map.hh (100%) copy {milena => scribo}/sandbox/green/mln/fun/v2v/rgb_to_value_map.hh (100%) copy {milena => scribo}/sandbox/green/mln/img_path.hh (100%) create mode 100644 scribo/sandbox/green/mln/io/plot/save_image_sh.hh copy {milena => scribo}/sandbox/green/mln/math/ceil.hh (100%) copy {milena => scribo}/sandbox/green/mln/math/floor.hh (100%) copy {milena => scribo}/sandbox/green/mln/value/hsv.hh (100%) create mode 100644 scribo/sandbox/green/mln/value/rg.hh create mode 100644 scribo/sandbox/green/tests/accu/stat/histo1d/Makefile.am create mode 100644 scribo/sandbox/green/tests/accu/stat/histo1d/histo1d.cc create mode 100644 scribo/sandbox/green/use/accu/stat/histo1d/Makefile.am create mode 100644 scribo/sandbox/green/use/accu/stat/histo1d/histo1d.cc create mode 100644 scribo/sandbox/green/use/accu/stat/histo2d/Makefile.am create mode 100644 scribo/sandbox/green/use/accu/stat/histo2d/histo2d.cc diff --git a/scribo/sandbox/green/ChangeLog b/scribo/sandbox/green/ChangeLog index ed399c5..6a3c8fa 100644 --- a/scribo/sandbox/green/ChangeLog +++ b/scribo/sandbox/green/ChangeLog @@ -1,3 +1,50 @@ +2010-06-24 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + + Import files from milena/sandbox/green. + + * mln/accu/stat/histo1d.hh: New header file. + * mln/accu/stat/histo2d.hh: New header file. + * mln/accu/stat/histo3d_hsl.hh: New header file. + * mln/accu/stat/histo3d_rgb.hh: New header file. + * mln/clustering/k_mean.hh: New header file. + * mln/clustering/kmean1d.hh: New header file. + * mln/clustering/kmean2d.hh: New header file. + * mln/clustering/kmean3d.hh: New header file. + * mln/clustering/kmean_rgb.hh: New header file. + * mln/display/display_histo.hh: New header file. + * mln/display/project_histo.hh: New header file. + * mln/fun/p2b/achromatic.hh: New header file. + * mln/fun/p2b/component_equals.hh: New header file. + * mln/fun/v2v/achromatism.hh: New header file. + * mln/fun/v2v/hue_concentration.hh: New header file. + * mln/fun/v2v/int_u16_to_int_u14.hh: New header file. + * mln/fun/v2v/int_u16_to_int_u14.hh: New header file. + * mln/fun/v2v/log.hh: New header file. + * mln/fun/v2v/rg_to_rgb.hh: New header file. + * mln/fun/v2v/rgb8_to_int_u8: New header file. + * mln/fun/v2v/rgb_to_achromastism_map.hh: New header file. + * mln/fun/v2v/rgb_to_hsv.hh: New header file. + * mln/fun/v2v/rgb_to_hue_map.hh: New header file. + * mln/fun/v2v/rgb_to_saturation_map.hh: New header file. + * mln/fun/v2v/rgb_to_value_map.hh: New header file. + * mln/img_path.hh: New header file. + * mln/io/plot/save_image_sh.hh: New header file. + * mln/math/cell.hh: New header file. + * mln/math/floor.hh: New header file. + * tests/accu/stat/histo1d/Makefile.am: New makefile. + * tests/accu/stat/histo1d/histo1d.cc: New source. + * tests/accu/stat/histo2d/Makefile.am: New makefile. + * tests/accu/stat/histo2d/histo2d.cc: New source. + +2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + + Save histogram library. + + * mln/accu/histo/histo1d.hh: New header file. + * mln/accu/histo/histo2d.hh: New header file. + * mln/accu/histo/histo3d_rgb.hh: New header file. + * mln/accu/histo/histo3d_hsl.hh: New header file. + 2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> Simple integration test. diff --git a/scribo/sandbox/green/README b/scribo/sandbox/green/README index 4eb71b7..3efe50d 100644 --- a/scribo/sandbox/green/README +++ b/scribo/sandbox/green/README @@ -1,32 +1,219 @@ -Le travail est classé dans deux répertoires ok et ko. -Le répertoire ok correspond aux sources qui ont été reprises et retestées. -Le répertoire ko correspond aux sources qui ont été juste transférées. +I ARBORESCENCE +-------------- -La première brique logicielle importante sur laquelle s'appuie mes travaux est -la création d'histogrammes sous forme d'image. +bench ==> Comparaison d'algorithmes d'un point de vue temps d'exécution. +bug ==> Bug rencontrés dans milena et archivés sous forme de programme. +build ==> Répertoire d'exécution, non sauvé dans git. +demo ==> Première version d'un algorithme pour voir son comportement. +doc ==> Documentation tex ou code minimal pour de petits exemples. +exp ==> Version avancée des algorithmes pour traitées les bases de données. +mln ==> Partie mise en librairie milena des différents travaux. +tests ==> Tests unitaires sur certains algorithmes. +tools ==> Découpage de certains algorithmes pour mieux les tester séparément. +use ==> Test de compilation, code minimal pour compiler un élément. +II COMPILATION +-------------- -CREATION DES HISTOGRAMMES -------------------------- +L'unité minimale de code choisie est le répertoire. +Donc aller dans le répertoire qui nous interesse, +par exemple, green/demo/annotating/hsv et lancé le make -ko/mln/accu/stat/histo1d.hh: histogramme image valeur scalaire. -ko/mln/accu/stat/histo2d.hh: histogramme image valeur vectorielle 2d. -ko/mln/accu/stat/histo3d_hsl.hh: histogramme image valeur vectorielle 3d (HSL). -ko/mln/accu/stat/histo3d_rgb.hh: histogramme image valeur vectorielle 3d (RGB). +#:~/git/olena/scribo/sandbox/green$cd demo/annotating/hsv +#:~/git/olena/scribo/sandbox/green/demo/annotating/hsv$ make -f Makefile.am +Cette opération créé dans build le répertoire de compilation +green/build/demo/annotating/hsv. Dans ce répertoire aura été copié un +Makefile et tous les fichiers qui ne sont pas des sources. Par +exemple, des fichiers de calibration comme gaussian.sh (pour vérifier +la mire du filtre de gaussienne) ou de la documentation à la sauvette +sous forme de fichiers textes jetés à la va vite dans le répertoire +pour ne pas perdre l'information recherchée. En l'occurence, ici, il +n'y a rien à copier. Rendons-nous dans le répertoire de compilation et lançons +le makefile. +#:~/git/olena/scribo/sandbox/green/demo/annotating/hsv$ +cd ../../../build/demo/annotating/hsv +#:~/git/olena/scribo/sandbox/green/build/demo/annotating/hsv$ make clean all -ok/mln/accu/histo/histo1d.hh: histogramme image valeur scalaire entière. -ok/mln/accu/histo/histo2d.hh: histogramme image valeur vectorielle 2d entière. -ok/mln/accu/histo/histo3d.hh: histogramme image valeur vectorielle 3d entière. +L'exécutable est généré par le makefile, il porte le nom du +répertoire. Si il y a besoin de mettre à jour le makefile, le faire +dans le répertoire des sources en éditant Makefile.am, puis en +régénérant le Makefile dans le répertoire d'exécution par la commande +make -f Makefile.am depuis le répertoire source. -SAUVEGARDE DES HISTOGRAMMES ---------------------------- +III MAKEFILE +------------ +Les makefiles utilisés sont tous les mêmes avec quelques variables +dont le contenu change dans leur partie en-tête. +Pour chaque répertoire, le makefile doit savoir si le chemin courant +est un répertoire de compilation ou un répertoire de source. Pour les +identifier, il a recours à un pattern qui malheureusemnt fait +intervenir le nom de la branche de développement (bench,demo,bug,exp ...). +SOURCE_PATTERN= green/demo +BUILD__PATTERN= green/build/demo -VISUALISATION DES HISTOGRAMMES ------------------------------- \ No newline at end of file +Si un makefile ne fonctionne pas, il faut vérifier ceci en premier +lieu. Ici, le makefile doit être situé dans la branche démo. + +Autre élément à savoir, la compilation nécessite d'inclure la +librairie milena, ainsi que les développements propres en vu de leur +intégration futur dans milena, ceci est fait par un jeu d'INCLUDES1 +et INCLUDES2. + +INCLUDES1= -I$(HOME)/git/olena/scribo/sandbox/green +INCLUDES2= -I$(HOME)/git/olena/milena +INCLUDES= $(INCLUDES1) $(INCLUDES2) + +Suivant l'allure du compte où l'on exécute les makefiles, il faut +revoir le chemin pour trouver des deux répertoires. + +Enfin, les options de compilations ne sont pas toujours les mêmes. Les +trois lignes possibles sont toutes présentes et seule celle qui est +utilisée n'est pas commentée. Typiquement, dans la branche de +développement démo où les perfomances ne sont pas le problème, on +compilera avec tout le matériel pour utiliser gdb et sans +optimisation. A l'inverse, dans la branche d'expérimentation, où le +code a déjà été testé, on cherche à aller vite car on exécute ce code +sur de nombreuses images. Dans cette optique, pas de débugage, pas de +traçage, optimisation conséquente. + +CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O3 -Wall -W -pedantic -ansi -pipe $(INCLUDES) + +Une dernière dernière information, dans le cadre des développements +exp, et tools, on utilise la librairie boost soit pour la +virtualisation du filesystem, soit pour le formatage des fichiers text +(réalisation de colonnes, mettre des entiers sur un certain nombre de +caractères). Une ligne de chargement des librairies peut apparaitre donc. + +LOADLIBES= -lboost_filesystem + +On retrouvera les includes suivantes dans les sources: + +#include <boost/format.hpp> +#include <boost/filesystem.hpp> + + +IV CHEMINS DES IMAGES +--------------------- + +Toutes les images ont toujours été locales sur mon ordinateur. La +politique a toujours été d'utiliser un fichier img_path pour coder les +chemins des images. Les chemins étant plutôt long, j'ai toujours eu +tendance à faire en sorte qu'ils soient compilés en dur (sauf pour la +partie développement tools qui est vraiment voué à donner des +exécutables indépendants et génériques). Le fichier mln/img_path.hh +code la position de toutes les images dans mon arborescence. Il faudra +donc veiller à changer tous les chemins pour les adapter au compte +dans lequel on voudra reprendre le code. Dans le code, les références +aux positions des images sont faites via des macros. + +Toutes les images sont située dans git/img. En règle générale, je ne +traite que des images au format .pgm, .pbm et .ppm. Il m'arrive +fréquemment de dumper des images au format .sh (gnuplot shell +image). Pour la branche tools, nous avons utilisé les dumps de milena +comme format de transfert d'un utilitaire à un autre. Les images sont +classées suivant leur provenance. Nous avons tout d'abord la base +OLENA (copie des images de tests milena), la base INIM (très peu +utilisée voire jamais), la base ICDAR (très utilisée, surtout dans +exp), la base AFP (très utilisée dans exp) et les bases ANNOTATING1 et +ANNOTATING2 (pas très utilisées ni l'une, ni l'autre). + +La plus part du temps, sauver les résultats dans le répertoire +d'exécution courant est largement suffisant. Parfois, il est +nécessaire de sauvegarder de grosses quantités d'informations et de +les classer comme dans la branche de développement exp. C'est pour +cela, qu'un certain nombre de macros définissent des endroits pour +sauvegarder les résultats lors d'expérimentation de grande ampleur sur +toute la base ICDAR ou AFP. + + +V GNUPLOT SCRIPT SHELL IMAGE FORMAT +----------------------------------- + +J'abrège le nom du format par gnuplot shell format. En fait, c'est un +format d'image particulier qui a besoin de gnuplot pour être lu. Il +est donc compatible avec aucun viewer si ce n'est gnuplot, mais a la +caractéristique d'afficher tous les points de manière visible. Par +ailleurs, comme il s'agit d'un script gnuplot il permet d'insérer très +facilement une fonction pour visualiser les données autrement (par +exemple, changer d'espace: HSL, HSV). Le fichier tire son nom de la +façon dont il fonctionne. C'est un script shell qui fait un appel à +gnuplot et lui passe le jeu de données directement à partir de ce même +fichier, pas besoin de faire appel à un autre fichier. Une fois +généré, le fichier doit être modifié pour avoir les permissions +d'exécution (chmod 755 gnuplot_shell_file.sh). Comme je trouve le format +extrêmement pratique, il se retrouve preque partout dans mes sources. + + +V MLN +----- + +a) La sauvegarde des images au format gnuplot shell + +* mln/io/plot/save_image_sh.hh: Librairie sauvegarde format gnuplot shell. + +to do ... + + + +b) Les histogrammes + +Un des travaux demandés par théo est la réalisation d'une librairie +d'histogramme permettant de fournir un résultat sous forme d'image. +L'intérêt est ensuite de pouvoir filtrer directement ces histogrammes +par les algorithmes de milena, ou encore d'étudier les valeurs +caractéristiques par d'autres accumulateurs. Les codes réellement +utilisés sont histo1d et histo3d RGB. Tous les autres codes sont très +expérimentaux. Notemment, le code HSL demande de quantifier l'espace +de comptage puisqu'il est décrit sous la forme de triplets de float +(les autres sont inférés). Néanmoins, le code est à conserver car il +contient une séquence d'appels pour les routines permettant de +considérer la dimension de la teinte comme circulaire. + +* mln/accu/stat/histo1d.hh: Accumulateur histogramme image1d. +* use/accu/stat/histo1d: Code minimal utilisant un histogramme 1d. + +* mln/accu/stat/histo2d.hh: Accumulateur histogramme image2d. +* mln/value/rg.hh: Définition du type vectoriel 2d rouge/vert (RG). +* mln/fun/v2v/rgb_to_rg.hh: Transformation de l'espace RGB vers l'espace RG. +* use/accu/stat/histo2d: Code minimal utilisant un histogramme 2d. + + +* mln/accu/stat/histo3d_rgb.hh: Accumulateur histogramme image3d RGB. +* mln/accu/stat/histo3d_hsl.hh: Accumulateur histogramme image3d HSL. + +* use/accu/stat/histo3_rgb: Code minimal utilisant un histogramme 3d RGB. +* use/accu/stat/histo3_hsl: Code minimal utilisant un histogramme 3d HSL. + + + +* tests/accu/stat/histo1d + + + + +* tests/accu/stat/histo2d + + + +* use/accu/stat/histo3d_rgb +* tests/accu/stat/histo3d_rgb + +* use/accu/stat/histo3d_hsl +* tests/accu/stat/histo3d_hsl + + +c) La visualisation des histogrammes 3d + +* demo/accu/stat/histo2d + +* mln/display/dispay_histo.hh +* mln/displayproject_histo.hh diff --git a/scribo/sandbox/green/mln/accu/stat/histo1d.hh b/scribo/sandbox/green/mln/accu/stat/histo1d.hh new file mode 100644 index 0000000..d480cf0 --- /dev/null +++ b/scribo/sandbox/green/mln/accu/stat/histo1d.hh @@ -0,0 +1,340 @@ +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_ACCU_STAT_HISTO1D_HH +#define MLN_ACCU_STAT_HISTO1D_HH + +/// \file +/// +/// \brief Define a histogram as accumulator which returns an image1d. +/// +/// This source implements the discrete histogram version. It was +/// created for images which the values are derived from integer +/// type. The number of bins is directly infered from the cardinality +/// of the image value. So the int_u8 image has got 256 bins, the +/// int_u<14> image has got 16384 bins. But, this code doesn't work +/// for that quantification because of the coord limitation (signed +/// short, as it is defined in mln/core/def/coord.hh). Take care of +/// the limitation from the result image value. We hard code unsigned, +/// but it sometimes not enought to count data in one bin. That last +/// case has not occured since the beginning of the creation of the type. +/// +/// The following sample is a typical use of the histogram. +/// +/// #include <mln/accu/stat/histo1d.hh> +/// #include <mln/data/compute.hh> +/// #include <mln/core/image/image1d.hh> +/// #include <mln/core/image/image2d.hh> +/// #include <mln/img_path.hh> +/// #include <mln/io/pgm/load.hh> +/// #include <mln/value/int_u8.hh> +/// +/// int main() +/// { +/// typedef mln::value::int_u8 t_int_u8; +/// mln::image2d<t_int_u8> img; +/// mln::image1d<unsigned> histo; +/// +/// mln::io::pgm::load(img, OLENA_IMG_PATH"/lena.pgm"); +/// histo = mln::data::compute(mln::accu::meta::histo::histo1d(), img); +/// +/// return 0; +/// } + + +#include <iostream> + +#include <mln/accu/internal/base.hh> + +#include <mln/arith/plus.hh> + +#include <mln/core/concept/meta_accumulator.hh> +#include <mln/core/image/image1d.hh> +#include <mln/core/macros.hh> + +#include <mln/literal/zero.hh> + +#include <mln/trace/entering.hh> +#include <mln/trace/exiting.hh> + +#include <mln/trait/value/comp.hh> + +#include <mln/value/ops.hh> + +namespace mln +{ + + namespace accu + { + + namespace stat + { + + // Forward declaration + template <typename V> + struct histo1d; + + } // end of namespace mln::accu::stat + + + namespace meta + { + + namespace stat + { + + struct histo1d : public Meta_Accumulator<histo1d> + { + template <typename V> + struct with + { + typedef accu::stat::histo1d<V> ret; + }; + }; + + } // end of namespace mln::accu::meta::stat + + } // end of namespace mln::accu::meta + + } // end of namespace mln::accu + + namespace trait + { + + template <typename V> + struct accumulator_< mln::accu::stat::histo1d<V> > + { + typedef accumulator::has_untake::no has_untake; + typedef accumulator::has_set_value::no has_set_value; + typedef accumulator::has_stop::no has_stop; + typedef accumulator::when_pix::use_v when_pix; + }; + + template <typename V> + struct set_precise_binary_<op::eq, + accu::stat::histo1d<V>, + accu::stat::histo1d<V> > + { + typedef bool ret; + }; + + } // end of namespace mln::trait + + namespace accu + { + + namespace stat + { + + /// \brief Define a histogram as accumulator which returns an image1d. + /// + /// Param V defines the type of the input image value. It is in + /// this space that we count the values. For instance, this + /// histogram works well for image2d<int_u8> or with + /// image2d<int_u<14> >. The number of bins depends directly the + /// values V. For 8 bits there is 256 bins, for 14 bits there + /// is 16384 bins. Note that over quantification works too (up + /// to 14 bits). + /// + /// \ingroup modaccuvalues + + template <typename V> + struct histo1d : + public mln::accu::internal::base<image1d<unsigned>, histo1d<V> > + { + typedef V argument; + typedef image1d<unsigned> result; + typedef result q_result; + + /// Constructors + /// \{ + /// \brief Infer the size of the resulting image1d domain. + /// + /// By evaluating the minimum and the maximum of V, we define the domain + /// of the resulting image1d. + histo1d(); + /// \} + + + /// Manipulators. + /// \{ + /// \brief Initialize the histogram with zero value. + /// + /// This method must be called just before starting the use of the + /// histogram. If it's not, resulting values won't converge to the + /// density. + void init(); + + + /// \brief Update the histogram with the graylevel of the pixel t. + /// \param[in] t a graylevel pixel of type V. + /// + /// The end user shouldn't call this method. In place of it, he can + /// go through the data compute interface. + void take(const argument& t); + + + /// \brief Update the histogram with an other histogram. + /// \param[in] other the other histogram. + /// + /// The end user shouldn't call this method. This is part of + /// data compute interface mechanism. + + void take(const histo1d<V>& other); + /// \} + + /// Accessors. + /// \{ + /// \brief Return the histogram as an image1d. + /// + /// This is the machinery to communicate with data compute interface. + /// The end user should'nt use it. + result to_result() const; + operator result () const; + /// \} + + /// \brief Check whethever this accumulator is able to return a result. + /// + /// Depends if the resulting image1d is valid. We can assume it is quite + /// always the case. + bool is_valid() const; + + protected: + result count_; + }; + + /// \brief Check wethever an histogram is equal to an other one. + /// \param[in] histo1 the first histogram to compare with. + /// \param[in] histo2 the second histogram. + /// + /// The operator compares all the bins from the two histograms. + /// Nobody uses this method unless unitary tests. + + template <typename V> + bool operator==(const histo1d<V>& histo1, const histo1d<V>& histo2); + +#ifndef MLN_INCLUDE_ONLY + + template <typename V> + inline + histo1d<V>::histo1d() + { + trace::entering("mln::accu::stat::histo1d::cstor"); + typedef mln_trait_value_comp(V,0) comp; + typedef point<grid::tick, V> v_point1d; + typedef box<v_point1d> v_box1d; + + // comp keep a trace of the dimension of the theorical image. + // mln_min(comp) --> 0 + // mln_max(comp) --> 2^(n-1) [127 for n=7][255 for n=8] ... + + count_.init_(box1d(point1d(mln_min(comp)), + point1d(mln_max(comp)))); + + // std::cout << "min : " << mln_min(comp) << std::endl; + // std::cout << "max : " << mln_max(comp) << std::endl; + + trace::exiting("mln::accu::stat::histo1d::cstor"); + } + + template <typename V> + inline + void histo1d<V>::init() + { + data::fill(count_, literal::zero); + } + + template <typename V> + inline + void histo1d<V>::take(const argument& t) + { + // Just convert a graylevel value (int_u8 like) to a position for an + // iterator on the resulting image. + ++count_(point1d(t)); + } + + + template <typename V> + inline + void histo1d<V>::take(const histo1d<V>& other) + { + count_ += other.count_; + } + + template <typename V> + inline + typename histo1d<V>::result histo1d<V>::to_result() const + { + return count_; + } + + template <typename V> + inline + histo1d<V>::operator result() const + { + return count_; + } + + template <typename V> + inline + bool histo1d<V>::is_valid() const + { + bool result = count_.is_valid(); + + return result; + } + + template <typename V> + bool operator==(const histo1d<V>& histo1, const histo1d<V>& histo2) + { + trace::entering("mln::accu::stat::histo1d::operator=="); + + bool result = true; + const image1d<unsigned>& res1 = histo1.to_result(); + const image1d<unsigned>& res2 = histo2.to_result(); + + mln_precondition(res1.is_valid()); + mln_precondition(res2.is_valid()); + + mln_piter(image1d<unsigned>) p1(res1.domain()); + mln_piter(image1d<unsigned>) p2(res2.domain()); + + for_all_2(p1, p2) + result &= (res1(p1) == res2(p2)); + + trace::exiting("mln::accu::stat::histo1d::operator=="); + return result; + } + +#endif // ! MLN_INCLUDE_ONLY + + + } // end of namespace mln::accu::stat + + } // end of namespace mln::accu + +} // end of namespace mln + +#endif // ! MLN_ACCU_STAT_HISTO1D_HH diff --git a/scribo/sandbox/green/mln/accu/stat/histo2d.hh b/scribo/sandbox/green/mln/accu/stat/histo2d.hh new file mode 100644 index 0000000..c28723c --- /dev/null +++ b/scribo/sandbox/green/mln/accu/stat/histo2d.hh @@ -0,0 +1,358 @@ +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_ACCU_STAT_HISTO2D_HH +# define MLN_ACCU_STAT_HISTO2D_HH + +/// \file +/// +/// \brief Define a histogram as accumulator which returns an image2d. +/// +/// This source implements the discrete histogram version. It was +/// created for images which the values are derived from integer +/// type. The number of bins is directly infered from the cardinality +/// of the image value. It works with vectorial image, typically RGB +/// space where only RG are preserved. See histo1d.hh for limitations +/// of such implementation. 8 bits quantification starts to be +/// expensive, it produces image2d with [0..255,0..255] as domain. +/// +/// The following sample is a typical use of the histogram. +/// +/// #include <mln/accu/stat/histo2d.hh> +/// #include <mln/core/image/image2d.hh> +/// #include <mln/data/compute.hh> +/// #include <mln/data/transform.hh> +/// #include <mln/fun/v2v/rgb_to_rg.hh> +/// #include <mln/img_path.hh> +/// #include <mln/io/ppm/load.hh> +/// #include <mln/value/rg.hh> +/// #include <mln/value/rgb8.hh> +/// +/// int main() +/// { +/// typedef mln::value::rg<8> t_rg8 +/// typedef mln::value::rgb8 t_rgb8; +/// typedef mln::fun::v2v::rgb_to_rg<8> t_rgb_to_rg; +/// typedef mln::image2d<t_rg8> t_image2d_rg8; +/// typedef mln::image2d<t_rgb8> t_image2d_rgb8; +/// typedef mln::image2d<unsigned> t_histo; +/// t_image2d_rgb8 img_rgb8; +/// t_image2d_rg8 img_rg8; +/// t_histo histo; +/// +/// mln::io::ppm::load(img_rgb8, OLENA_IMG_PATH"/lena.ppm"); +/// img_rg8 = mln::data::transform(img_rgb8, t_rgb_to_rg()); +/// histo = mln::data::compute(mln::accu::meta::stat::histo2d(), img_rg8); +/// +/// return 0; +/// } + +# include <iostream> + +# include <mln/accu/internal/base.hh> + +# include <mln/core/macros.hh> +# include <mln/core/image/image2d.hh> +# include <mln/core/alias/point2d.hh> +# include <mln/core/alias/box2d.hh> + +# include <mln/trait/value/comp.hh> + +# include <mln/arith/plus.hh> + +# include <mln/trace/entering.hh> +# include <mln/trace/exiting.hh> + +# include <mln/value/ops.hh> + +namespace mln +{ + + namespace accu + { + + namespace stat + { + + // Forward declaration + template <typename V> + struct histo2d; + + } // end of namespace mln::accu::stat + + namespace meta + { + + namespace stat + { + + struct histo2d : public Meta_Accumulator<histo2d> + { + template <typename V> + struct with + { + typedef accu::stat::histo2d<V> ret; + }; + }; + + } // end of namespace mln::accu::meta::stat + + } // end of namespace mln::accu::meta + + } // end of namespace mln::accu + + + namespace trait + { + + template <typename V> + struct accumulator_< mln::accu::stat::histo2d<V> > + { + typedef accumulator::has_untake::no has_untake; + typedef accumulator::has_set_value::no has_set_value; + typedef accumulator::has_stop::no has_stop; + typedef accumulator::when_pix::use_v when_pix; + }; + + template <typename V> + struct set_precise_binary_<op::eq, + accu::stat::histo2d<V>, + accu::stat::histo2d<V> > + { + typedef bool ret; + }; + + } // end of namespace mln::trait + + namespace accu + { + + namespace stat + { + + /// \brief Define an histogram which returns an image3d . + /// + /// Param V defines the space in which we count the values. + /// For instance, this histogram works image2d<rgb<2>> or + /// image2d<rgb<7>>. The histogram count the occurrence of each value. + /// The number of bins depends of the grayscale values, for 8 bits there + /// is 256x3 bins. Note that over + /// quantification works too. + /// + /// \ingroup modaccuvalues + + template <typename V> + struct histo2d : + public mln::accu::internal::base<image2d<unsigned>, histo2d<V> > + { + typedef V argument; + typedef image2d<unsigned> result; + typedef result q_result; + + /// Constructors + /// \{ + /// \brief Initialize the size of the resulting image1d. + /// + /// Initialize the size the resulting image from the theorical dynamic + /// of the greylevel values (Use V to manage it). + histo2d(); + /// \} + + + /// Manipulators. + /// \{ + /// \brief Initialize the histogram with zero value. + /// + /// This method must be called just before starting the use of the + /// histogram. If it's not, resulting values won't converge to the + /// density. + void init(); + + + /// \brief Update the histogram with the RGB pixel t. + /// \param[in] t a greylevel pixel of type V. + /// + /// The end user shouldn't call this method. In place of it, he can + /// go through the data compute interface. + void take(const argument& t); + + + /// \brief Update the histogram with an other histogram. + /// \param[in] other the other histogram. + void take(const histo2d<V>& other); + /// \} + + /// Accessors. + /// \{ + /// \brief Return the histogram as an image1d. + /// + /// This is the machinery to communicate with data compute interface. + /// The end user should'nt use it. + result to_result() const; + operator result () const; + /// \} + + /// \brief Check whethever this accumulator is able to return a result. + /// + /// Depends if the resulting image1d is valid. We can assume it is quite + /// always the case. + bool is_valid() const; + + protected: + result count_; + }; + + /// \brief Check wethever an histogram is equal to an other one. + /// \param[in] histo1 the first histogram to compare with. + /// \param[in] histo2 the second histogram. + /// + /// The operator compare all the bins from the two histogram. + + template <typename V> + bool operator==(const histo2d<V>& histo1, + const histo2d<V>& histo2); + +#ifndef MLN_INCLUDE_ONLY + + template <typename V> + inline + histo2d<V>::histo2d() + { + trace::entering("mln::accu::stat::histo2d::histo2d"); + typedef mln_trait_value_comp(V,0) comp0; + typedef mln_trait_value_comp(V,1) comp1; + + // comp keep a trace of the dimension of the theorical image. + // mln_min(comp) --> 0 + // mln_max(comp) --> 2^(n-1) [127 for n=7][255 for n=8] ... + + count_.init_(box2d(point2d(mln_min(comp0), + mln_min(comp1)), + point2d(mln_max(comp0), + mln_max(comp1)))); + + trace::exiting("mln::accu::stat::histo2d::histo2d"); + } + + template <typename V> + inline + void histo2d<V>::init() + { + trace::entering("mln::accu::stat::histo2d::init"); + + data::fill(count_, 0); + trace::exiting("mln::accu::stat::histo2d::init"); + } + + template <typename V> + inline + void histo2d<V>::take(const argument& t) + { + trace::entering("mln::accu::stat::histo2d::take"); + + // Just convert a greyscale value (int_u8 like) to a position for an + // iterator on the resulting image. + // Take care to the constructor : Point(slice, row, column) + ++count_(point2d(t.red(), t.green())); + + trace::exiting("mln::accu::stat::histo2d::take"); + } + + + template <typename V> + inline + void histo2d<V>::take(const histo2d<V>& other) + { + trace::entering("mln::accu::stat::histo2d::take"); + + count_ += other.count_; + + trace::exiting("mln::accu::stat::histo2d::take"); + } + + template <typename V> + inline + typename histo2d<V>::result histo2d<V>::to_result() const + { + trace::entering("mln::accu::stat::histo2d::to_result"); + + trace::exiting("mln::accu::stat::histo2d::to_result"); + return count_; + } + + template <typename V> + inline + histo2d<V>::operator result() const + { + trace::entering("mln::accu::stat::histo2d::operator result"); + + trace::exiting("mln::accu::stat::histo2d::operator result"); + return count_; + } + + template <typename V> + inline + bool histo2d<V>::is_valid() const + { + trace::entering("mln::accu::stat::histo2d::is_valid"); + bool result = count_.is_valid(); + + trace::exiting("mln::accu::stat::histo2d::is_valid"); + return result; + } + + template <typename V> + bool operator==(const histo2d<V>& histo1, + const histo2d<V>& histo2) + { + trace::entering("mln::accu::stat::operator=="); + + bool result = true; + const image2d<unsigned>& res1 = histo1.to_result(); + const image2d<unsigned>& res2 = histo2.to_result(); + + mln_precondition(res1.is_valid()); + mln_precondition(res2.is_valid()); + + mln_piter(image2d<unsigned>) p1(res1.domain()); + mln_piter(image2d<unsigned>) p2(res2.domain()); + + for_all_2(p1, p2) + result &= (res1(p1) == res2(p2)); + + trace::exiting("mln::accu::stat::operator=="); + return result; + } + +#endif // ! MLN_INCLUDE_ONLY + + + } // end of namespace mln::accu::stat + + } // end of namespace mln::accu + +} // end of namespace mln + +#endif // ! MLN_ACCU_STAT_HISTO2D_HH diff --git a/milena/sandbox/green/mln/accu/stat/histo3d_hsl.hh b/scribo/sandbox/green/mln/accu/stat/histo3d_hsl.hh similarity index 100% copy from milena/sandbox/green/mln/accu/stat/histo3d_hsl.hh copy to scribo/sandbox/green/mln/accu/stat/histo3d_hsl.hh diff --git a/milena/sandbox/green/mln/accu/stat/histo3d_rgb.hh b/scribo/sandbox/green/mln/accu/stat/histo3d_rgb.hh similarity index 100% copy from milena/sandbox/green/mln/accu/stat/histo3d_rgb.hh copy to scribo/sandbox/green/mln/accu/stat/histo3d_rgb.hh diff --git a/milena/sandbox/green/mln/clustering/k_mean.hh b/scribo/sandbox/green/mln/clustering/k_mean.hh similarity index 100% copy from milena/sandbox/green/mln/clustering/k_mean.hh copy to scribo/sandbox/green/mln/clustering/k_mean.hh diff --git a/milena/sandbox/green/mln/clustering/kmean1d.hh b/scribo/sandbox/green/mln/clustering/kmean1d.hh similarity index 100% copy from milena/sandbox/green/mln/clustering/kmean1d.hh copy to scribo/sandbox/green/mln/clustering/kmean1d.hh diff --git a/milena/sandbox/green/mln/clustering/kmean2d.hh b/scribo/sandbox/green/mln/clustering/kmean2d.hh similarity index 100% copy from milena/sandbox/green/mln/clustering/kmean2d.hh copy to scribo/sandbox/green/mln/clustering/kmean2d.hh diff --git a/milena/sandbox/green/mln/clustering/kmean3d.hh b/scribo/sandbox/green/mln/clustering/kmean3d.hh similarity index 100% copy from milena/sandbox/green/mln/clustering/kmean3d.hh copy to scribo/sandbox/green/mln/clustering/kmean3d.hh diff --git a/milena/sandbox/green/mln/clustering/kmean_rgb.hh b/scribo/sandbox/green/mln/clustering/kmean_rgb.hh similarity index 100% copy from milena/sandbox/green/mln/clustering/kmean_rgb.hh copy to scribo/sandbox/green/mln/clustering/kmean_rgb.hh diff --git a/milena/sandbox/green/mln/display/display_histo.hh b/scribo/sandbox/green/mln/display/display_histo.hh similarity index 100% copy from milena/sandbox/green/mln/display/display_histo.hh copy to scribo/sandbox/green/mln/display/display_histo.hh diff --git a/milena/sandbox/green/mln/display/project_histo.hh b/scribo/sandbox/green/mln/display/project_histo.hh similarity index 100% copy from milena/sandbox/green/mln/display/project_histo.hh copy to scribo/sandbox/green/mln/display/project_histo.hh diff --git a/milena/sandbox/green/mln/fun/p2b/achromatic.hh b/scribo/sandbox/green/mln/fun/p2b/achromatic.hh similarity index 100% copy from milena/sandbox/green/mln/fun/p2b/achromatic.hh copy to scribo/sandbox/green/mln/fun/p2b/achromatic.hh diff --git a/milena/sandbox/green/mln/fun/p2b/component_equals.hh b/scribo/sandbox/green/mln/fun/p2b/component_equals.hh similarity index 100% copy from milena/sandbox/green/mln/fun/p2b/component_equals.hh copy to scribo/sandbox/green/mln/fun/p2b/component_equals.hh diff --git a/milena/sandbox/green/mln/fun/v2v/achromatism.hh b/scribo/sandbox/green/mln/fun/v2v/achromatism.hh similarity index 100% copy from milena/sandbox/green/mln/fun/v2v/achromatism.hh copy to scribo/sandbox/green/mln/fun/v2v/achromatism.hh diff --git a/milena/sandbox/green/mln/fun/v2v/hue_concentration.hh b/scribo/sandbox/green/mln/fun/v2v/hue_concentration.hh similarity index 100% copy from milena/sandbox/green/mln/fun/v2v/hue_concentration.hh copy to scribo/sandbox/green/mln/fun/v2v/hue_concentration.hh diff --git a/milena/sandbox/green/mln/fun/v2v/int_u16_to_int_u14.hh b/scribo/sandbox/green/mln/fun/v2v/int_u16_to_int_u14.hh similarity index 100% copy from milena/sandbox/green/mln/fun/v2v/int_u16_to_int_u14.hh copy to scribo/sandbox/green/mln/fun/v2v/int_u16_to_int_u14.hh diff --git a/milena/sandbox/green/mln/fun/v2v/log.hh b/scribo/sandbox/green/mln/fun/v2v/log.hh similarity index 100% copy from milena/sandbox/green/mln/fun/v2v/log.hh copy to scribo/sandbox/green/mln/fun/v2v/log.hh diff --git a/milena/sandbox/green/mln/fun/v2v/rg_to_rgb.hh b/scribo/sandbox/green/mln/fun/v2v/rg_to_rgb.hh similarity index 100% copy from milena/sandbox/green/mln/fun/v2v/rg_to_rgb.hh copy to scribo/sandbox/green/mln/fun/v2v/rg_to_rgb.hh diff --git a/milena/sandbox/green/mln/fun/v2v/rgb8_to_int_u8.hh b/scribo/sandbox/green/mln/fun/v2v/rgb8_to_int_u8.hh similarity index 100% copy from milena/sandbox/green/mln/fun/v2v/rgb8_to_int_u8.hh copy to scribo/sandbox/green/mln/fun/v2v/rgb8_to_int_u8.hh diff --git a/milena/sandbox/green/mln/fun/v2v/rgb8_to_rgbn.hh b/scribo/sandbox/green/mln/fun/v2v/rgb8_to_rgbn.hh similarity index 100% copy from milena/sandbox/green/mln/fun/v2v/rgb8_to_rgbn.hh copy to scribo/sandbox/green/mln/fun/v2v/rgb8_to_rgbn.hh diff --git a/milena/sandbox/green/mln/fun/v2v/rgb_to_achromatism_map.hh b/scribo/sandbox/green/mln/fun/v2v/rgb_to_achromatism_map.hh similarity index 100% copy from milena/sandbox/green/mln/fun/v2v/rgb_to_achromatism_map.hh copy to scribo/sandbox/green/mln/fun/v2v/rgb_to_achromatism_map.hh diff --git a/milena/sandbox/green/mln/fun/v2v/rgb_to_hsv.hh b/scribo/sandbox/green/mln/fun/v2v/rgb_to_hsv.hh similarity index 100% copy from milena/sandbox/green/mln/fun/v2v/rgb_to_hsv.hh copy to scribo/sandbox/green/mln/fun/v2v/rgb_to_hsv.hh diff --git a/milena/sandbox/green/mln/fun/v2v/rgb_to_hue_map.hh b/scribo/sandbox/green/mln/fun/v2v/rgb_to_hue_map.hh similarity index 100% copy from milena/sandbox/green/mln/fun/v2v/rgb_to_hue_map.hh copy to scribo/sandbox/green/mln/fun/v2v/rgb_to_hue_map.hh diff --git a/scribo/sandbox/green/mln/fun/v2v/rgb_to_rg.hh b/scribo/sandbox/green/mln/fun/v2v/rgb_to_rg.hh new file mode 100644 index 0000000..d4c1e46 --- /dev/null +++ b/scribo/sandbox/green/mln/fun/v2v/rgb_to_rg.hh @@ -0,0 +1,111 @@ +// Copyright (C) 2007,2008,2009,2010 EPITA LRDE +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_FUN_V2V_RGB_TO_RG_HH +# define MLN_FUN_V2V_RGB_TO_RG_HH + +# include <mln/value/rg.hh> +# include <mln/value/rgb.hh> +# include <mln/core/contract.hh> + +/// \file +/// +/// \brief Convert a rgb value to a rg value. +/// +/// This source implements the conversion between rgb space and rg space. +/// +/// The following sample is a typical use of the rgb/rg conversion function. +/// +/// #include <mln/accu/stat/histo2d.hh> +/// #include <mln/core/image/image2d.hh> +/// #include <mln/data/compute.hh> +/// #include <mln/data/transform.hh> +/// #include <mln/fun/v2v/rgb_to_rg.hh> +/// #include <mln/img_path.hh> +/// #include <mln/io/ppm/load.hh> +/// #include <mln/value/rg.hh> +/// #include <mln/value/rgb8.hh> +/// +/// int main() +/// { +/// typedef mln::value::rg<8> t_rg8 +/// typedef mln::value::rgb8 t_rgb8; +/// typedef mln::fun::v2v::rgb_to_rg<8> t_rgb_to_rg; +/// typedef mln::image2d<t_rg8> t_image2d_rg8; +/// typedef mln::image2d<t_rgb8> t_image2d_rgb8; +/// typedef mln::image2d<unsigned> t_histo; +/// t_image2d_rgb8 img_rgb8; +/// t_image2d_rg8 img_rg8; +/// t_histo histo; +/// +/// mln::io::ppm::load(img_rgb8, OLENA_IMG_PATH"/lena.ppm"); +/// img_rg8 = mln::data::transform(img_rgb8, t_rgb_to_rg()); +/// histo = mln::data::compute(mln::accu::meta::stat::histo2d(), img_rg8); +/// +/// return 0; +/// } + +namespace mln +{ + + namespace fun + { + + namespace v2v + { + + /// \brief Convert a rgb value to a rg value. + /// + /// Param n defines the quantification used for rgb space and rg space. + /// + /// \ingroup modfunv2v + + template <unsigned n> + struct rgb_to_rg : Function_v2v< rgb_to_rg<n> > + { + typedef value::rg<n> result; + typedef value::rgb<n> argument; + + /// \brief Convert rgb value to rg value. + /// + /// \param[in] v the rgb value to convert. + /// + /// Conversion is done by calling the rg constructor. There is + /// no modification of values. The red/green fields from rgb the value + /// are preserved. Blue value is dropped. + + result operator()(const argument& v) const + { + return value::rg<n>(v); + } + }; + + } // end of namespace mln::fun::v2v + + } // end of namespace mln::fun + +} // end of namespace mln + +#endif // ! MLN_FUN_V2V_RGB_TO_RG_HH diff --git a/milena/sandbox/green/mln/fun/v2v/rgb_to_saturation_map.hh b/scribo/sandbox/green/mln/fun/v2v/rgb_to_saturation_map.hh similarity index 100% copy from milena/sandbox/green/mln/fun/v2v/rgb_to_saturation_map.hh copy to scribo/sandbox/green/mln/fun/v2v/rgb_to_saturation_map.hh diff --git a/milena/sandbox/green/mln/fun/v2v/rgb_to_value_map.hh b/scribo/sandbox/green/mln/fun/v2v/rgb_to_value_map.hh similarity index 100% copy from milena/sandbox/green/mln/fun/v2v/rgb_to_value_map.hh copy to scribo/sandbox/green/mln/fun/v2v/rgb_to_value_map.hh diff --git a/milena/sandbox/green/mln/img_path.hh b/scribo/sandbox/green/mln/img_path.hh similarity index 100% copy from milena/sandbox/green/mln/img_path.hh copy to scribo/sandbox/green/mln/img_path.hh diff --git a/scribo/sandbox/green/mln/io/plot/save_image_sh.hh b/scribo/sandbox/green/mln/io/plot/save_image_sh.hh new file mode 100644 index 0000000..137f78d --- /dev/null +++ b/scribo/sandbox/green/mln/io/plot/save_image_sh.hh @@ -0,0 +1,1056 @@ +// Copyright (C) 2007,2008,2009,2010 EPITA LRDE +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_IO_PLOT_SAVE_IMAGE_SH_HH +# define MLN_IO_PLOT_SAVE_IMAGE_SH_HH + +/// \file +/// +/// \brief Define some functions to export to gnuplot format as a script shell. +/// +/// Theses routines are dedicated to image visualization. The aim is to display +/// image whatever the value used as pixel. The behaviour of gnuplot is more +/// like xv than imageMagick. A Gnuplot script shell file is a text dump file +/// with a preambule to let gnuplot interpret data. As a script shell, you can +/// launch it (don't forget the permissions), and every thing is packed in it. +/// The script file call gnuplot in batch mode, the result window persists and +/// that's all. +/// + +# include <fstream> +# include <string> + +# include <mln/trace/entering.hh> +# include <mln/trace/exiting.hh> + +# include <mln/core/macros.hh> +# include <mln/core/contract.hh> +# include <mln/core/image/image1d.hh> +# include <mln/core/image/image2d.hh> +# include <mln/core/image/image3d.hh> + +# include <mln/geom/min_ind.hh> +# include <mln/geom/max_ind.hh> +# include <mln/geom/min_row.hh> +# include <mln/geom/max_row.hh> +# include <mln/geom/min_col.hh> +# include <mln/geom/max_col.hh> + +# include <mln/trait/value_.hh> + +# include <mln/value/int_u.hh> +# include <mln/value/int_s.hh> +# include <mln/value/rgb.hh> +# include <mln/value/hsl.hh> +# include <mln/value/hsi.hh> + +# include <mln/util/array.hh> + + +namespace mln +{ + + namespace io + { + + namespace plot + { + + /// \brief Save an image as a gnuplot script shell. + /// + /// Every thing is save. The image could be 1d, 2d or 3d. The value of + /// the pixels could be int_u<n>, int_s<n>, float, double, hsl_f, hsl_d, + /// hsi_f, hsi_d and rgb<n>. + /// + /// \param[in] img the image which contains the data to save. + /// \param[in] filename the name of the unix script shell. + /// \return the status of the opening file operation. + /// + /// The result depends on the permission to save the file with + /// filename parameter as unix path. The script shell file must have the + /// permission to execute (chmod 755). Launch the script shell to call + /// gnuplot in batchmode with fine parameters. + + template <typename I> + bool save_image_sh(const Image& img, const std::string& filename); + + /// \brief Save a stack of image. + /// + /// This is an experimental support. + /// + /// \param[in] stack the stack of image to save. + /// \param[in] filename the name of the unix script shell. + /// \return the status of the opening file operation. + /// + /// The result depends on the permission to save the file with + /// filename parameter as unix path. The script shell file must have the + /// permission to execute (chmod 755). Launch the script shell to call + /// gnuplot in batchmode with fine parameters. + template <typename I> + bool save_image_sh(const util::array< image1d >& stack, + const std::string& filename); + + template <typename I> + bool save_image_sh(const util::array< util::array< image1d > >& stack, + const std::string& filename); + + } // end of namespace mln::io::plot + + } // end of namespace mln::io + + + namespace io + { + + namespace plot + { + +#ifndef MLN_INCLUDE_ONLY + + //------------------------------------------------------------------------ + // Impl. + //------------------------------------------------------------------------ + + namespace impl + { + + + //---------------------------------------------------------------------- + // save_image_sh_array_array_image1d(const array<array<image1d>>&, + // const string&) + //---------------------------------------------------------------------- + + template <typename I> + inline + bool save_image_sh_array_array_image1d(const util::array< util::array< + image1d > >& stack, + const std::string& filename) + { + trace::entering("mln::io::plot::impl::" + "save_image_sh_array_array_image1d"); + + mln_precondition(!stack.is_empty()); + mln_precondition(!stack[0].is_empty()); + mln_precondition(stack[0][0].is_valid()); + + std::ofstream out(filename.c_str()); + bool result = !out.fail(); + unsigned min_ind = geom::min_ind(stack[0][0]); + unsigned max_ind = geom::max_ind(stack[0][0]); + + if (result) + { + // Output data prelude (terminal X11, image). + out << "#!/bin/sh" << std::endl; + out << "####################################" << std::endl; + out << "# Columns = (x, y, val) #" << std::endl; + out << "####################################" << std::endl; + out << std::endl; + out << "gnuplot <<EOF" << std::endl; + out << "set terminal x11 persist 1" << std::endl; + out << "set xrange [" << min_ind; + out << ":" << max_ind; + out << "]" << std::endl; + out << "plot '-' with line"; + + for (unsigned i = 1; i < stack.size(); ++i) + { + for (unsigned j = 1; j < stack[i].size(); ++j) + { + + out << ",\\" << std::endl; + out << " '-' with line"; + } + } + + out << std::endl; + + mln_eiter(util::array< util::array< image1d > >) e0(stack); + + for_all (e0) + { + mln_eiter(util::array< image1d >) e1(stack[e0.index_()]); + + for_all (e1) + { + mln_piter(image1d) + p(stack[e0.index_()][e1.index_()].domain()); + + // Output data. + for_all(p) + { + out << p.ind() << " "; + out << stack[e0.index_()][e1.index_()](p) << std::endl;; + } + + // Close gnuplot data stream. + out << "e" << std::endl; + } + } + + out << "EOF" << std::endl; + out.close(); + } + else + { + std::cerr << "ERROR[mln::io::plot::save_image_sh]:" << filename; + std::cerr << " couldn't be opened !!" << std::endl; + } + + trace::exiting("mln::io::plot::impl::" + "save_image_sh_array_array_image1d"); + + return result; + } + + //---------------------------------------------------------------------- + // save_image_sh_array_array_image1d_vec3( + // const array<array<image1d<vec<3,T>>>>&, + // const string&) + //---------------------------------------------------------------------- + + template <typename T> + inline + bool save_image_sh_array_array_image1d_vec3( + const util::array<util::array<image1d<algebra::vec<3,T> > > >& stack, + const std::string& filename) + { + trace::entering("mln::io::plot::impl::" + "save_image_sh_array_array_image1d_vec3"); + + typedef algebra::vec<3,T> t_val; + typedef image1d<t_val> t_img; + typedef util::array<t_img> t_array; + typedef util::array<t_array> t_stack; + + mln_precondition(!stack.is_empty()); + mln_precondition(!stack[0].is_empty()); + mln_precondition(stack[0][0].is_valid()); + + std::ofstream out(filename.c_str()); + bool result = !out.fail(); + unsigned min_ind = geom::min_ind(stack[0][0]); + unsigned max_ind = geom::max_ind(stack[0][0]); + + if (result) + { + // Output data prelude (terminal X11, image). + out << "#!/bin/sh" << std::endl; + out << "####################################" << std::endl; + out << "# Columns = (x, y, val) #" << std::endl; + out << "####################################" << std::endl; + out << std::endl; + out << "gnuplot <<EOF" << std::endl; + out << "set terminal x11 persist 1" << std::endl; + out << "set xrange [" << min_ind; + out << ":" << max_ind; + out << "]" << std::endl; + out << "splot '-' with line palette"; + + for (unsigned i = 1; i < stack.size(); ++i) + { + for (unsigned j = 1; j < stack[i].size(); ++j) + { + + out << ",\\" << std::endl; + out << " '-' with line palette"; + } + } + + out << std::endl; + + mln_eiter(t_stack) e0(stack); + + for_all (e0) + { + mln_eiter(t_array) e1(stack[e0.index_()]); + + for_all (e1) + { + mln_piter(t_img) p(stack[e0.index_()][e1.index_()].domain()); + + // Output data. + for_all(p) + { + out << p.ind() << " "; + out << stack[e0.index_()][e1.index_()](p)[0] << " "; + out << stack[e0.index_()][e1.index_()](p)[1] << " "; + out << stack[e0.index_()][e1.index_()](p)[2] << std::endl;; + } + + // Close gnuplot data stream. + out << "e" << std::endl; + } + } + + out << "EOF" << std::endl; + out.close(); + } + else + { + std::cerr << "ERROR[mln::io::plot::save_image_sh]:" << filename; + std::cerr << " couldn't be opened !!" << std::endl; + } + + trace::exiting("mln::io::plot::impl::" + "save_image_sh_array_array_image1d_vec3"); + + return result; + } + + + //---------------------------------------------------------------------- + // save_image_sh_array_array_image1d_vec2( + // const array<array<image1d<vec<2,T>>>>&, + // const string&) + //---------------------------------------------------------------------- + + template <typename T> + inline + bool save_image_sh_array_array_image1d_vec2( + const util::array<util::array<image1d<algebra::vec<2,T> > > >& stack, + const std::string& filename) + { + trace::entering("mln::io::plot::impl::" + "save_image_sh_array_array_image1d_vec2"); + + typedef algebra::vec<2,T> t_val; + typedef image1d<t_val> t_img; + typedef util::array<t_img> t_array; + typedef util::array<t_array> t_stack; + + mln_precondition(!stack.is_empty()); + mln_precondition(!stack[0].is_empty()); + mln_precondition(stack[0][0].is_valid()); + + std::ofstream out(filename.c_str()); + bool result = !out.fail(); + unsigned min_ind = geom::min_ind(stack[0][0]); + unsigned max_ind = geom::max_ind(stack[0][0]); + + if (result) + { + // Output data prelude (terminal X11, image). + out << "#!/bin/sh" << std::endl; + out << "####################################" << std::endl; + out << "# Columns = (x, y, val) #" << std::endl; + out << "####################################" << std::endl; + out << std::endl; + out << "gnuplot <<EOF" << std::endl; + out << "set terminal x11 persist 1" << std::endl; + out << "set xrange [" << min_ind; + out << ":" << max_ind; + out << "]" << std::endl; + out << "splot '-' with line"; + + for (unsigned i = 1; i < stack.size(); ++i) + { + for (unsigned j = 1; j < stack[i].size(); ++j) + { + + out << ",\\" << std::endl; + out << " '-' with line"; + } + } + + out << std::endl; + + mln_eiter(t_stack) e0(stack); + + for_all (e0) + { + mln_eiter(t_array) e1(stack[e0.index_()]); + + for_all (e1) + { + mln_piter(t_img) p(stack[e0.index_()][e1.index_()].domain()); + + // Output data. + for_all(p) + { + out << p.ind() << " "; + out << stack[e0.index_()][e1.index_()](p)[0] << " "; + out << stack[e0.index_()][e1.index_()](p)[1] << std::endl;; + } + + // Close gnuplot data stream. + out << "e" << std::endl; + } + } + + out << "EOF" << std::endl; + out.close(); + } + else + { + std::cerr << "ERROR[mln::io::plot::save_image_sh]:" << filename; + std::cerr << " couldn't be opened !!" << std::endl; + } + + trace::exiting("mln::io::plot::impl::" + "save_image_sh_array_array_image1d_vec2"); + + return result; + } + + //---------------------------------------------------------------------- + // save_image_sh_array_image1d(const array<image1d>&, const string&) + //---------------------------------------------------------------------- + + template <typename I> + inline + bool save_image_sh_array_image1d(const util::array< image1d >& stack, + const std::string& filename) + { + trace::entering("mln::io::plot::impl::save_image_sh_array_image1d"); + mln_precondition(!stack.is_empty()); + mln_precondition(stack[0].is_valid()); + + std::ofstream out(filename.c_str()); + bool result = !out.fail(); + unsigned min_ind = geom::min_ind(stack[0]); + unsigned max_ind = geom::max_ind(stack[0]); + + if (result) + { + // Output data prelude (terminal X11, image). + out << "#!/bin/sh" << std::endl; + out << "####################################" << std::endl; + out << "# Columns = (x, y, val) #" << std::endl; + out << "####################################" << std::endl; + out << std::endl; + out << "gnuplot <<EOF" << std::endl; + out << "set terminal x11 persist 1" << std::endl; + out << "set xrange [" << min_ind; + out << ":" << max_ind; + out << "]" << std::endl; + out << "plot '-' with line"; + + for (unsigned i = 1; i < stack.size(); ++i) + { + + out << ",\\" << std::endl; + out << " '-' with line"; + } + + out << std::endl; + + mln_eiter(util::array< image1d >) e(stack); + + for_all (e) + { + mln_piter(image1d) p(stack[e.index_()].domain()); + + // Output data. + for_all(p) + { + out << p.ind() << " "; + out << stack[e.index_()](p) << std::endl;; + } + + // Close gnuplot data stream. + out << "e" << std::endl; + } + + out << "EOF" << std::endl; + out.close(); + } + else + { + std::cerr << "ERROR[mln::io::plot::save_image_sh]:" << filename; + std::cerr << " couldn't be opened !!" << std::endl; + } + + trace::exiting("mln::io::plot::impl::save_image_sh_array_image1d"); + return result; + } + + + //---------------------------------------------------------------------- + // save_image_sh_image2d_rgb(const image2d<rgb<n>>&, const string&) + //---------------------------------------------------------------------- + + template <unsigned n> + inline + bool save_image_sh_image2d_rgb(const image2d<value::rgb<n> >& img, + const std::string& filename) + { + trace::entering("mln::io::plot::impl::save_image_sh_image2d_rgb"); + mln_precondition(img.is_valid()); + + std::ofstream out(filename.c_str()); + bool result = !out.fail(); + unsigned min_row = geom::min_row(img); + unsigned max_row = geom::max_row(img); + unsigned min_col = geom::min_col(img); + unsigned max_col = geom::max_col(img); + + if (result) + { + mln_piter(image2d< value::rgb<n> >) p(img.domain()); + + // Output data prelude (terminal X11, image). + out << "#!/bin/sh" << std::endl; + out << "####################################" << std::endl; + out << "# Columns = (x, y, r, g, b) #" << std::endl; + out << "####################################" << std::endl; + out << std::endl; + out << "gnuplot <<EOF" << std::endl; + out << "set terminal x11 persist 1" << std::endl; + out << "set xrange [" << min_col; + out << ":" << max_col; + out << "]" << std::endl; + out << "set yrange [-" << max_row; + out << ":" << min_row; + out << "]" << std::endl; + out << "plot '-' using 2:(-\\$1):3:4:5 with rgbimage" << std::endl; + + // Output data. + for_all(p) + { + out << p.row() << " "; + out << p.col() << " "; + out << img(p).red() << " "; + out << img(p).green() << " "; + out << img(p).blue() << std::endl; + } + + // Close gnuplot data stream. + out << "e" << std::endl; + out << "EOF" << std::endl; + + out.close(); + } + else + { + std::cerr << "ERROR[mln::io::plot::save_image_sh]:" << filename; + std::cerr << " couldn't be opened !!" << std::endl; + } + + trace::exiting("mln::io::plot::impl::save_image_sh_image2d_rgb"); + return result; + } + + //---------------------------------------------------------------------- + // save_image_sh_image2d_hsl(const image2d<hsl_<T,T,T>>&, const string&) + //---------------------------------------------------------------------- + + template <typename T> + inline + bool save_image_sh_image2d_hsl(const image2d<value::hsl_<T,T,T> >& img, + const std::string& filename) + { + trace::entering("mln::io::plot::impl::save_image_sh_image2d_hsl"); + mln_precondition(img.is_valid()); + + std::ofstream out(filename.c_str()); + bool result = !out.fail(); + unsigned min_row = geom::min_row(img); + unsigned max_row = geom::max_row(img); + unsigned min_col = geom::min_col(img); + unsigned max_col = geom::max_col(img); + + typedef mln::value::hsl_<T,T,T> hsl; + + if (result) + { + mln_piter(image2d< hsl >) p(img.domain()); + + // Output data prelude (terminal X11, image). + out << "#!/bin/sh" << std::endl; + out << "####################################" << std::endl; + out << "# Columns = (x, y, val) #" << std::endl; + out << "####################################" << std::endl; + out << std::endl; + out << "gnuplot <<EOF" << std::endl; + out << "q(l,s) = (l < 0.5)? (l*(1+s)):(l+s-(l*s))" << std::endl; + out << "p(l,s) = (2.0 * l - q(l,s))" << std::endl; + out << "n(x) = (x < 0)?(x+1):(x > 1)?(x-1) : (x)"<< std::endl; + out << std::endl; + out << "c(p,q,t) = (t <(1.0/6.0))?(p+(q-p)*6.0*t):\\"<< std::endl; + out << " (t <(1.0/2.0))?(q) :\\" << std::endl; + out << " (t<(2.0/3.0))?(p+(q-p)*6.0*((2.0/3.0)-t)):\\" << std::endl; + out << " (p)" << std::endl; + out << std::endl; + out << "r(h,s,l) = c(p(l,s),q(l,s),n(h/360.0+1.0/3.0))"<< std::endl; + out << "g(h,s,l) = c(p(l,s),q(l,s),n(h/360.0))" << std::endl; + out << "b(h,s,l) = c(p(l,s),q(l,s),n(h/360.0-1.0/3.0))"<< std::endl; + out << std::endl; + out << "set terminal x11 persist 1" << std::endl; + out << "set palette gray" << std::endl; + out << "set xrange [" << min_col; + out << ":" << max_col; + out << "]" << std::endl; + out << "set yrange [-" << max_row; + out << ":" << min_row; + out << "]" << std::endl; + out << "plot '-' using 2:(-\\$1):\\" << std::endl; + out << " (r(\\$3,\\$4,\\$5)):\\" << std::endl; + out << " (g(\\$3,\\$4,\\$5)):\\" << std::endl; + out << " (b(\\$3,\\$4,\\$5)) with rgbimage" << std::endl; + + // Output data. + for_all(p) + { + out << p.row() << " "; + out << p.col() << " "; + out << img(p).hue() << " "; + out << img(p).sat() << " "; + out << img(p).lum() << std::endl; + } + + // Close gnuplot data stream. + out << "e" << std::endl; + out << "EOF" << std::endl; + + out.close(); + } + else + { + std::cerr << "ERROR[mln::io::plot::save_image_sh]:" << filename; + std::cerr << " couldn't be opened !!" << std::endl; + } + + trace::exiting("mln::io::plot::impl::save_image_sh_image2d_hsl"); + return result; + } + + //---------------------------------------------------------------------- + // save_image_sh_image2d_hsi(const image2d<hsi_<T,T,T>>&, const string&) + //---------------------------------------------------------------------- + + template <typename T> + inline + bool save_image_sh_image2d_hsi(const image2d<value::hsi_<T,T,T> >& img, + const std::string& filename) + { + trace::entering("mln::io::plot::impl::save_image_sh_image2d_hsi"); + mln_precondition(img.is_valid()); + + std::ofstream out(filename.c_str()); + bool result = !out.fail(); + unsigned min_row = geom::min_row(img); + unsigned max_row = geom::max_row(img); + unsigned min_col = geom::min_col(img); + unsigned max_col = geom::max_col(img); + + typedef mln::value::hsi_<T,T,T> hsi; + + if (result) + { + mln_piter(image2d< hsi >) p(img.domain()); + + // Output data prelude (terminal X11, image). + out << "#!/bin/sh" << std::endl; + out << "####################################" << std::endl; + out << "# Columns = (x, y, val) #" << std::endl; + out << "####################################" << std::endl; + out << std::endl; + out << "gnuplot <<EOF" << std::endl; + out << "teta(h) = (h/180.0) * pi" << std::endl; + out << "alpha(s,h) = s*cos(teta(h))" << std::endl; + out << "beta(s,h) = s*sin(teta(h))" << std::endl; + out << "n(x) = (x < 0)?(x+1) : (x > 1)?(x-1):(x)"<< std::endl; + out << std::endl; + out << "c(p,q,t) = (t <(1.0/6.0))?(p+(q-p)*6.0*t):\\"<< std::endl; + out << " (t <(1.0/2.0))?(q) :\\" << std::endl; + out << " (t <(2.0/3.0))?(p+(q-p)*6.0*((2.0/3.0)-t)):\\"<< std::endl; + out << " (p)" << std::endl; + out << std::endl; + out << "r(h,s,i) = (sqrt(3.0)/3.0) * i \\" << std::endl; + out << " + (2.0/(sqrt(6.0))) * beta(s,h)" << std::endl; + out << "g(h,s,i) = (sqrt(3.0)/3.0) * i \\" << std::endl; + out << " + (2.0/(sqrt(2.0))) * alpha(s,h)\\" << std::endl; + out << " - (1.0/(sqrt(6.0))) * beta(s,h)" << std::endl; + out << "b(h,s,i) = (sqrt(3.0)/3.0) * i \\" << std::endl; + out << " - (2.0/(sqrt(2.0))) * alpha(s,h) \\"<< std::endl; + out << " - (1.0/(sqrt(6.0))) * beta(s,h)" << std::endl; + out << std::endl; + out << "set terminal x11 persist 1" << std::endl; + out << "set palette gray" << std::endl; + out << "set xrange [" << min_col; + out << ":" << max_col; + out << "]" << std::endl; + out << "set yrange [-" << max_row; + out << ":" << min_row; + out << "]" << std::endl; + out << "plot '-' using 2:(-\\$1):\\" << std::endl; + out << " (r(\\$3,\\$4,\\$5)):\\" << std::endl; + out << " (g(\\$3,\\$4,\\$5)):\\" << std::endl; + out << " (b(\\$3,\\$4,\\$5)) with rgbimage" << std::endl; + + // Output data. + for_all(p) + { + out << p.row() << " "; + out << p.col() << " "; + out << img(p).hue() << " "; + out << img(p).sat() << " "; + out << img(p).inty() << std::endl; + } + + // Close gnuplot data stream. + out << "e" << std::endl; + out << "EOF" << std::endl; + + out.close(); + } + else + { + std::cerr << "ERROR[mln::io::plot::save_image_sh]:" << filename; + std::cerr << " couldn't be opened !!" << std::endl; + } + + trace::exiting("mln::io::plot::impl::save_image_sh_image2d_hsi"); + return result; + } + + //---------------------------------------------------------------------- + // save_image_sh_image2d(const image2d&, const string&) + //---------------------------------------------------------------------- + + template <typename I> + inline + bool save_image_sh_image2d(const image2d& img, + const std::string& filename) + { + trace::entering("mln::io::plot::impl::save_image_sh_image2d"); + mln_precondition(img.is_valid()); + + std::ofstream out(filename.c_str()); + bool result = !out.fail(); + unsigned min_row = geom::min_row(img); + unsigned max_row = geom::max_row(img); + unsigned min_col = geom::min_col(img); + unsigned max_col = geom::max_col(img); + + if (result) + { + mln_piter(image2d) p(img.domain()); + + // Output data prelude (terminal X11, image). + out << "#!/bin/sh" << std::endl; + out << "####################################" << std::endl; + out << "# Columns = (x, y, val) #" << std::endl; + out << "####################################" << std::endl; + out << std::endl; + out << "gnuplot <<EOF" << std::endl; + out << "set terminal x11 persist 1" << std::endl; + out << "set palette gray" << std::endl; + out << "set xrange [" << min_col; + out << ":" << max_col; + out << "]" << std::endl; + out << "set yrange [-" << max_row; + out << ":" << min_row; + out << "]" << std::endl; + out << "plot '-' using 2:(-\\$1):3 with image" <<std::endl; + + // Output data. + for_all(p) + { + out << p.row() << " "; + out << p.col() << " "; + out << img(p) << std::endl; + } + + // Close gnuplot data stream. + out << "e" << std::endl; + out << "EOF" << std::endl; + + out.close(); + } + else + { + std::cerr << "ERROR[mln::io::plot::save_image_sh]:"<< filename; + std::cerr << " couldn't be opened !!" << std::endl; + } + + trace::exiting("mln::io::plot::impl::save_image_sh_image2d"); + return result; + } + + //---------------------------------------------------------------------- + // save_image_sh_image1d(const image1d&, const string&) + //---------------------------------------------------------------------- + + template <typename I> + inline + bool save_image_sh_image1d(const image1d& img, + const std::string& filename) + { + trace::entering("mln::io::plot::impl::save_image_sh_image1d"); + mln_precondition(img.is_valid()); + + std::ofstream out(filename.c_str()); + bool result = !out.fail(); + + if (result) + { + mln_piter(image1d) p(img.domain()); + + // Output data prelude (terminal X11, impulse). + out << "#!/bin/sh" << std::endl; + out << "##########################" << std::endl; + out << "# Two columns = (x, val) #" << std::endl; + out << "##########################" << std::endl; + out << std::endl; + out << "gnuplot <<EOF" << std::endl; + out << "set terminal x11 persist 1" << std::endl; + out << "plot '-' with impulse" << std::endl; + + // Output data. + for_all(p) + { + out << p.ind() << " "; + out << img(p) << std::endl; + } + + // Close gnuplot data stream. + out << "e" << std::endl; + out << "EOF" << std::endl; + + out.close(); + } + else + { + std::cerr << "ERROR[mln::io::plot::save_image_sh]:"<< filename; + std::cerr << " couldn't be opened !!" << std::endl; + } + + trace::exiting("mln::io::plot::impl::save_image_sh_image1d"); + return result; + } + + //---------------------------------------------------------------------- + // save_image_sh_image3d(const image3d&, const string&) + //---------------------------------------------------------------------- + + + template <typename I> + inline + bool save_image_sh_image3d(const image3d& img, + const std::string& filename) + { + trace::entering("mln::io::plot::impl::save_image_sh_image3d"); + mln_precondition(img.is_valid()); + + std::ofstream out(filename.c_str()); + bool result = !out.fail(); + + if (result) + { + mln_piter(image3d) p(img.domain()); + + // Output data prelude (terminal X11, pointtype 0). + out << "#!/bin/sh" << std::endl; + out << "####################################" << std::endl; + out << "# Columns = (x, y, z, val) #" << std::endl; + out << "####################################" << std::endl; + out << std::endl; + out << "gnuplot <<EOF" << std::endl; + out << "set terminal x11 persist 1" << std::endl; + out << "splot '-' with points palette pointtype 7" << std::endl; + + // Output data. + for_all(p) + { + out << p.row() << " "; + out << p.col() << " "; + out << p.sli() << " "; + out << img(p) << std::endl; + } + + // Close gnuplot data stream. + out << "e" << std::endl; + out << "EOF" << std::endl; + + out.close(); + } + else + { + std::cerr << "ERROR[mln::io::plot::save_image_sh]:"<< filename; + std::cerr << " couldn't be opened !!" << std::endl; + } + + trace::exiting("mln::io::plot::impl::save_image_sh_image3d"); + return result; + } + + } // end of namespace impl + + + //------------------------------------------------------------------------ + // Internal. + //------------------------------------------------------------------------ + + namespace internal + { + template <typename I> + inline + bool save_image_sh_dispatch(const util::array< image1d >& stack, + const std::string& filename) + { + return impl::save_image_sh_array_image1d(stack, filename); + } + + template <typename I> + inline + bool save_image_sh_dispatch(const util::array< + util::array <image1d > >& stack, + const std::string& filename) + { + return impl::save_image_sh_array_array_image1d(stack, filename); + } + + template <typename T> + inline + bool save_image_sh_dispatch( + const util::array<util::array<image1d<algebra::vec<3,T> > > >& stack, + const std::string& filename) + { + return impl::save_image_sh_array_array_image1d_vec3(stack, filename); + } + + template <typename T> + inline + bool save_image_sh_dispatch( + const util::array<util::array<image1d<algebra::vec<2,T> > > >& stack, + const std::string& filename) + { + return impl::save_image_sh_array_array_image1d_vec2(stack, filename); + } + + template <unsigned n> + inline + bool save_image_sh_dispatch(const image2d<value::rgb<n> >& img, + const std::string& filename) + { + return impl::save_image_sh_image2d_rgb(img, filename); + } + + template <typename T> + inline + bool save_image_sh_dispatch(const image2d<value::hsl_<T,T,T> >& img, + const std::string& filename) + { + return impl::save_image_sh_image2d_hsl(img, filename); + } + + template <typename T> + inline + bool save_image_sh_dispatch(const image2d<value::hsi_<T,T,T> >& img, + const std::string& filename) + { + return impl::save_image_sh_image2d_hsi(img, filename); + } + + + template <typename I> + inline + bool save_image_sh_dispatch(const image2d& img, + const std::string& filename) + { + return impl::save_image_sh_image2d(img, filename); + } + + template <typename I> + inline + bool save_image_sh_dispatch(const image1d& img, + const std::string& filename) + { + return impl::save_image_sh_image1d(img, filename); + } + + template <typename I> + inline + bool save_image_sh_dispatch(const image3d& img, + const std::string& filename) + { + return impl::save_image_sh_image3d(img, filename); + } + + template <typename I> + inline + bool save_image_sh_dispatch(const Image& img, + const std::string& filename) + { + return save_image_sh_dispatch(exact(img), filename); + } + + } // end of namespace mln::io::plot::internal + + //------------------------------------------------------------------------ + // Facade. + //------------------------------------------------------------------------ + + template <typename I> + inline + bool save_image_sh(const Image& img, const std::string& filename) + { + trace::entering("mln::io::plot::save_image_sh"); + + bool result = internal::save_image_sh_dispatch(img, filename); + + trace::exiting("mln::io::plot::save_image_sh"); + return result; + } + + template <typename I> + inline + bool save_image_sh(const util::array< image1d >& stack, + const std::string& filename) + { + trace::entering("mln::io::plot::save_image_sh"); + + bool result = internal::save_image_sh_dispatch(stack, filename); + + trace::exiting("mln::io::plot::save_image_sh"); + return result; + } + + template <typename I> + inline + bool save_image_sh(const util::array< util::array< image1d > >& stack, + const std::string& filename) + { + trace::entering("mln::io::plot::save_image_sh"); + + bool result = internal::save_image_sh_dispatch(stack, filename); + + trace::exiting("mln::io::plot::save_image_sh"); + return result; + } + + +#endif // ! MLN_INCLUDE_ONLY + + + } // end of namespace mln::io::plot + + } // end of namespace mln::io + +} // end of namespace mln + +#endif // ! MLN_IO_PLOT_SAVE_IMAGE_SH_HH diff --git a/milena/sandbox/green/mln/math/ceil.hh b/scribo/sandbox/green/mln/math/ceil.hh similarity index 100% copy from milena/sandbox/green/mln/math/ceil.hh copy to scribo/sandbox/green/mln/math/ceil.hh diff --git a/milena/sandbox/green/mln/math/floor.hh b/scribo/sandbox/green/mln/math/floor.hh similarity index 100% copy from milena/sandbox/green/mln/math/floor.hh copy to scribo/sandbox/green/mln/math/floor.hh diff --git a/milena/sandbox/green/mln/value/hsv.hh b/scribo/sandbox/green/mln/value/hsv.hh similarity index 100% copy from milena/sandbox/green/mln/value/hsv.hh copy to scribo/sandbox/green/mln/value/hsv.hh diff --git a/scribo/sandbox/green/mln/value/rg.hh b/scribo/sandbox/green/mln/value/rg.hh new file mode 100644 index 0000000..d083ffd --- /dev/null +++ b/scribo/sandbox/green/mln/value/rg.hh @@ -0,0 +1,175 @@ +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_VALUE_RG_HH +# define MLN_VALUE_RG_HH + +/// \file +/// +/// \brief Define the red/green vectorial image type. +/// +/// This source implements the red/green (RG) vectorial image type. It +/// is a partial copy of the rgb type. This type doesn't manage +/// anykind of interaction. Its purpose is limited to store a couple +/// of values. Do not use it outside this purpose, i can't garantie +/// the behaviour. +/// +/// The following sample is a typical use of the rg type. +/// +/// #include <mln/accu/stat/histo2d.hh> +/// #include <mln/core/image/image2d.hh> +/// #include <mln/data/compute.hh> +/// #include <mln/data/transform.hh> +/// #include <mln/fun/v2v/rgb_to_rg.hh> +/// #include <mln/img_path.hh> +/// #include <mln/io/ppm/load.hh> +/// #include <mln/value/rg.hh> +/// #include <mln/value/rgb8.hh> +/// +/// int main() +/// { +/// typedef mln::value::rg<8> t_rg8 +/// typedef mln::value::rgb8 t_rgb8; +/// typedef mln::fun::v2v::rgb_to_rg<8> t_rgb_to_rg; +/// typedef mln::image2d<t_rg8> t_image2d_rg8; +/// typedef mln::image2d<t_rgb8> t_image2d_rgb8; +/// typedef mln::image2d<unsigned> t_histo; +/// t_image2d_rgb8 img_rgb8; +/// t_image2d_rg8 img_rg8; +/// t_histo histo; +/// +/// mln::io::ppm::load(img_rgb8, OLENA_IMG_PATH"/lena.ppm"); +/// img_rg8 = mln::data::transform(img_rgb8, t_rgb_to_rg()); +/// histo = mln::data::compute(mln::accu::meta::stat::histo2d(), img_rg8); +/// +/// return 0; +/// } + + +# include <mln/algebra/vec.hh> +# include <mln/value/concept/vectorial.hh> +# include <mln/value/int_u.hh> +# include <mln/value/rgb8.hh> +# include <mln/trait/value_.hh> + + +namespace mln +{ + + namespace value + { + + // Forward declaration. + template <unsigned n> struct rg; + + } // end of namespace mln::value + + namespace trait + { + + template <unsigned n> + struct value_< mln::value::rg<n> > + { + enum { + dim = 2, + nbits = dim * n, + card = mln_value_card_from_(nbits) + }; + + typedef trait::value::nature::vectorial nature; + typedef trait::value::kind::color kind; + typedef trait::value::quant::high quant; + + typedef void comp; + typedef mln::value::int_u<n> comp_0; + typedef mln::value::int_u<n> comp_1; + + static comp_0 get_comp_0(const mln::value::rg<n>& v){return v.red(); } + static comp_1 get_comp_1(const mln::value::rg<n>& v){return v.green();} + + typedef algebra::vec<dim, float> sum; + + static const char* name() + { + static std::string s = std::string("rg").append(1, 8 + '0'); + return s.c_str(); + } + }; + + } // end of namespace mln::trait + + namespace value + { + + /// \brief Define the red/green vectorial image type. + /// + /// Param n defines the quantification used for red/green space. + + template <unsigned n> + struct rg :public mln::value::Vectorial< rg<n> >, + public internal::value_like_< + algebra::vec< 2, int_u<n> >, // Equivalent. + algebra::vec< 2, int_u<n> >, // Encoding. + algebra::vec< 2, int >, // Interoperation. + rg<n> > // Exact. + { + typedef int_u<n> t_red; + typedef int_u<n> t_green; + + int_u<n> red() const {return this->v_[0];} + int_u<n>& red() {return this->v_[0];} + int_u<n> green() const {return this->v_[1];} + int_u<n>& green() {return this->v_[1];} + + /// Constructors + /// \{ + /// \brief Create a rg value. + /// + /// Two constructors exist, the first one do nothing and the second one + /// initializes the red/green components from a rgb value. + rg(){} + rg(const rgb8& val){this->v_[0] = val.red(); this->v_[1] = val.green();} + /// \} + + /// \brief Affect a rg value to this object. + /// \param[in] rhs the value to affect to this object. + /// + /// If the two objects are different, then then copy the + /// underline array of values. + + rg operator=(const rg& rhs) + { + if (&rhs != this) + this->v_ = rhs.v_; + + return *this; + } + }; + + } // end of namespace mln::value + +} // end of namespace mln + +#endif // ! MLN_VALUE_RG_HH diff --git a/scribo/sandbox/green/tests/accu/stat/histo1d/Makefile.am b/scribo/sandbox/green/tests/accu/stat/histo1d/Makefile.am new file mode 100644 index 0000000..77f9015 --- /dev/null +++ b/scribo/sandbox/green/tests/accu/stat/histo1d/Makefile.am @@ -0,0 +1,153 @@ +# +# Generic Makefile +# + +######### +# TOOLS # +######### + +#LOADLIBES= -lboost_filesystem +INCLUDES1= -I$(HOME)/git/olena/scribo/sandbox/green +INCLUDES2= -I$(HOME)/git/olena/milena +INCLUDES= $(INCLUDES1) $(INCLUDES2) +CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O3 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +ECHO= echo +RM= rm +MKDIR= mkdir -p +CP= cp + +SOURCE_PATTERN= green/tests +BUILD__PATTERN= green/build/tests + + +ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN)) +# Case where make is done from build directory. +SOURCE_DIR= $(subst $(BUILD__PATTERN),$(SOURCE_PATTERN),$(PWD)) +BUILD__DIR= $(PWD)/ +else +# Case where make is done from source directory. +SOURCE_DIR= $(PWD)/ +BUILD__DIR= $(subst $(SOURCE_PATTERN),$(BUILD__PATTERN),$(PWD)) +endif + +SRC= $(notdir $(wildcard $(SOURCE_DIR)/*.cc)) +OLD= $(notdir $(wildcard $(SOURCE_DIR)/*~)) +OBJ= $(patsubst %.cc,%.o,$(SRC)) +SOURCE_MAKEFILE=Makefile.am +BUILD__MAKEFILE=Makefile +TARGET_FILE= $(notdir $(PWD)) +SOURCE_FILES= $(notdir $(wildcard $(SOURCE_DIR)/*.*)) +BUILD__FILES= $(filter-out $(SRC) $(SOURCE_MAKEFILE), $(SOURCE_FILES)) + +BUILD__F_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__FILES)) +SOURCE_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_FILES)) + +BUILD__M_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__MAKEFILE)) +SOURCE_M_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_MAKEFILE)) + +TARGET_F_PATH= $(addprefix $(BUILD__DIR)/,$(TARGET_FILE)) +OBJ_F_PATH= $(addprefix $(BUILD__DIR)/,$(OBJ)) +SRC_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SRC)) +OLD_F_PATH= $(addprefix $(SOURCE_DIR)/,$(OLD)) + +############# +# BOOTSTRAP # +############# + + +bootstrap: $(BUILD__DIR) $(BUILD__F_PATH) $(BUILD__M_PATH) + +# Create, if nessary, the destination directory +$(BUILD__DIR): + $(MKDIR) $(BUILD__DIR) + +# Copy, if nessary, all the files, except the Makefile.am +$(BUILD__F_PATH): $(SOURCE_F_PATH) + $(CP) $(addprefix $(SOURCE_DIR),$(@F)) $@ + +# Copy if nessary, the Makefile.am into Makefile +$(BUILD__M_PATH): $(SOURCE_M_PATH) + $(CP) $(SOURCE_M_PATH) $(BUILD__M_PATH) + + +####### +# ALL # +####### + +# We assume that the call is done from the build directory. +# With the directive vpath, hidden files are found in the source directory. + +all: $(TARGET_F_PATH) + + +$(TARGET_F_PATH): $(OBJ_F_PATH) + $(LINK.cc) $< $(LOADLIBES) $(LDLIBS) -o $@ + +$(OBJ_F_PATH):$(SRC_F_PATH) + $(COMPILE.cc) $(OUTPUT_OPTION) $< + + +######### +# CLEAN # +######### + +# Force every time the deletion +clean: clean_target clean_obj clean_dst clean_old #clean_make + + +clean_target: + -@$(RM) $(TARGET_F_PATH) &> /dev/null + +clean_obj: + -@$(RM) $(OBJ_F_PATH) &> /dev/null + +clean_dst: + -@$(RM) $(BUILD_F_PATH) &> /dev/null + +clean_make: + -@$(RM) $(BUILD_M_PATH) &> /dev/null + +clean_old: + -@$(RM) $(OLD_F_PATH) &> /dev/null + + +######### +# PRINT # +######### + +print: print_tools print_bootstrap + +print_tools: + @$(ECHO) "HOME = $(HOME)" + @$(ECHO) "INCLUDES = $(INCLUDES)" + @$(ECHO) "CXXFLAGS = $(CXXFLAGS)" + @$(ECHO) "ECHO = $(ECHO)" + @$(ECHO) "RM = $(RM)" + @$(ECHO) "MKDIR = $(MKDIR)" + @$(ECHO) "CP = $(CP)" + @$(ECHO) + +print_bootstrap: + @$(ECHO) "PWD = $(PWD)" + @$(ECHO) "SOURCE_PATTERN = $(SOURCE_PATTERN)" + @$(ECHO) "BUILD__PATTERN = $(BUILD__PATTERN)" + @$(ECHO) "SOURCE_DIR = $(SOURCE_DIR)" + @$(ECHO) "BUILD__DIR = $(BUILD__DIR)" + @$(ECHO) "SOURCE_MAKEFILE = $(SOURCE_MAKEFILE)" + @$(ECHO) "BUILD__MAKEFILE = $(BUILD__MAKEFILE)" + @$(ECHO) "TARGET_FILE = $(TARGET_FILE)" + @$(ECHO) "SOURCE_FILES = $(SOURCE_FILES)" + @$(ECHO) "SOURCE_F_PATH = $(SOURCE_F_PATH)" + @$(ECHO) "BUILD__FILES = $(BUILD__FILES)" + @$(ECHO) "BUILD__F_PATH = $(BUILD__F_PATH)" + @$(ECHO) "BUILD__M_PATH = $(BUILD__M_PATH)" + @$(ECHO) "SOURCE_M_PATH = $(SOURCE_M_PATH)" + @$(ECHO) "SRC = $(SRC)" + @$(ECHO) "OBJ = $(OBJ)" + @$(ECHO) "OLD = $(OLD)" + @$(ECHO) "SRC_F_PATH = $(SRC_F_PATH)" + @$(ECHO) "OBJ_F_PATH = $(OBJ_F_PATH)" + @$(ECHO) "OLD_F_PATH = $(OLD_F_PATH)" + @$(ECHO) diff --git a/scribo/sandbox/green/tests/accu/stat/histo1d/histo1d.cc b/scribo/sandbox/green/tests/accu/stat/histo1d/histo1d.cc new file mode 100644 index 0000000..5a5c4c4 --- /dev/null +++ b/scribo/sandbox/green/tests/accu/stat/histo1d/histo1d.cc @@ -0,0 +1,21 @@ +/// TEST HISTO1D + +#include <mln/accu/stat/histo1d.hh> +#include <mln/data/compute.hh> +#include <mln/core/image/image1d.hh> +#include <mln/core/image/image2d.hh> +#include <mln/img_path.hh> +#include <mln/io/pgm/load.hh> +#include <mln/value/int_u8.hh> + +int main() +{ + typedef mln::value::int_u8 t_int_u8; + mln::image2d<t_int_u8> img; + mln::image1d<unsigned> histo; + + mln::io::pgm::load(img, OLENA_IMG_PATH"/lena.pgm"); + histo = mln::data::compute(mln::accu::meta::stat::histo1d(), img); + + return 0; +} diff --git a/scribo/sandbox/green/use/accu/stat/histo1d/Makefile.am b/scribo/sandbox/green/use/accu/stat/histo1d/Makefile.am new file mode 100644 index 0000000..a96b2e9 --- /dev/null +++ b/scribo/sandbox/green/use/accu/stat/histo1d/Makefile.am @@ -0,0 +1,153 @@ +# +# Generic Makefile +# + +######### +# TOOLS # +######### + +#LOADLIBES= -lboost_filesystem +INCLUDES1= -I$(HOME)/git/olena/scribo/sandbox/green +INCLUDES2= -I$(HOME)/git/olena/milena +INCLUDES= $(INCLUDES1) $(INCLUDES2) +CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O3 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +ECHO= echo +RM= rm +MKDIR= mkdir -p +CP= cp + +SOURCE_PATTERN= green/use +BUILD__PATTERN= green/build/use + + +ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN)) +# Case where make is done from build directory. +SOURCE_DIR= $(subst $(BUILD__PATTERN),$(SOURCE_PATTERN),$(PWD)) +BUILD__DIR= $(PWD)/ +else +# Case where make is done from source directory. +SOURCE_DIR= $(PWD)/ +BUILD__DIR= $(subst $(SOURCE_PATTERN),$(BUILD__PATTERN),$(PWD)) +endif + +SRC= $(notdir $(wildcard $(SOURCE_DIR)/*.cc)) +OLD= $(notdir $(wildcard $(SOURCE_DIR)/*~)) +OBJ= $(patsubst %.cc,%.o,$(SRC)) +SOURCE_MAKEFILE=Makefile.am +BUILD__MAKEFILE=Makefile +TARGET_FILE= $(notdir $(PWD)) +SOURCE_FILES= $(notdir $(wildcard $(SOURCE_DIR)/*.*)) +BUILD__FILES= $(filter-out $(SRC) $(SOURCE_MAKEFILE), $(SOURCE_FILES)) + +BUILD__F_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__FILES)) +SOURCE_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_FILES)) + +BUILD__M_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__MAKEFILE)) +SOURCE_M_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_MAKEFILE)) + +TARGET_F_PATH= $(addprefix $(BUILD__DIR)/,$(TARGET_FILE)) +OBJ_F_PATH= $(addprefix $(BUILD__DIR)/,$(OBJ)) +SRC_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SRC)) +OLD_F_PATH= $(addprefix $(SOURCE_DIR)/,$(OLD)) + +############# +# BOOTSTRAP # +############# + + +bootstrap: $(BUILD__DIR) $(BUILD__F_PATH) $(BUILD__M_PATH) + +# Create, if nessary, the destination directory +$(BUILD__DIR): + $(MKDIR) $(BUILD__DIR) + +# Copy, if nessary, all the files, except the Makefile.am +$(BUILD__F_PATH): $(SOURCE_F_PATH) + $(CP) $(addprefix $(SOURCE_DIR),$(@F)) $@ + +# Copy if nessary, the Makefile.am into Makefile +$(BUILD__M_PATH): $(SOURCE_M_PATH) + $(CP) $(SOURCE_M_PATH) $(BUILD__M_PATH) + + +####### +# ALL # +####### + +# We assume that the call is done from the build directory. +# With the directive vpath, hidden files are found in the source directory. + +all: $(TARGET_F_PATH) + + +$(TARGET_F_PATH): $(OBJ_F_PATH) + $(LINK.cc) $< $(LOADLIBES) $(LDLIBS) -o $@ + +$(OBJ_F_PATH):$(SRC_F_PATH) + $(COMPILE.cc) $(OUTPUT_OPTION) $< + + +######### +# CLEAN # +######### + +# Force every time the deletion +clean: clean_target clean_obj clean_dst clean_old #clean_make + + +clean_target: + -@$(RM) $(TARGET_F_PATH) &> /dev/null + +clean_obj: + -@$(RM) $(OBJ_F_PATH) &> /dev/null + +clean_dst: + -@$(RM) $(BUILD_F_PATH) &> /dev/null + +clean_make: + -@$(RM) $(BUILD_M_PATH) &> /dev/null + +clean_old: + -@$(RM) $(OLD_F_PATH) &> /dev/null + + +######### +# PRINT # +######### + +print: print_tools print_bootstrap + +print_tools: + @$(ECHO) "HOME = $(HOME)" + @$(ECHO) "INCLUDES = $(INCLUDES)" + @$(ECHO) "CXXFLAGS = $(CXXFLAGS)" + @$(ECHO) "ECHO = $(ECHO)" + @$(ECHO) "RM = $(RM)" + @$(ECHO) "MKDIR = $(MKDIR)" + @$(ECHO) "CP = $(CP)" + @$(ECHO) + +print_bootstrap: + @$(ECHO) "PWD = $(PWD)" + @$(ECHO) "SOURCE_PATTERN = $(SOURCE_PATTERN)" + @$(ECHO) "BUILD__PATTERN = $(BUILD__PATTERN)" + @$(ECHO) "SOURCE_DIR = $(SOURCE_DIR)" + @$(ECHO) "BUILD__DIR = $(BUILD__DIR)" + @$(ECHO) "SOURCE_MAKEFILE = $(SOURCE_MAKEFILE)" + @$(ECHO) "BUILD__MAKEFILE = $(BUILD__MAKEFILE)" + @$(ECHO) "TARGET_FILE = $(TARGET_FILE)" + @$(ECHO) "SOURCE_FILES = $(SOURCE_FILES)" + @$(ECHO) "SOURCE_F_PATH = $(SOURCE_F_PATH)" + @$(ECHO) "BUILD__FILES = $(BUILD__FILES)" + @$(ECHO) "BUILD__F_PATH = $(BUILD__F_PATH)" + @$(ECHO) "BUILD__M_PATH = $(BUILD__M_PATH)" + @$(ECHO) "SOURCE_M_PATH = $(SOURCE_M_PATH)" + @$(ECHO) "SRC = $(SRC)" + @$(ECHO) "OBJ = $(OBJ)" + @$(ECHO) "OLD = $(OLD)" + @$(ECHO) "SRC_F_PATH = $(SRC_F_PATH)" + @$(ECHO) "OBJ_F_PATH = $(OBJ_F_PATH)" + @$(ECHO) "OLD_F_PATH = $(OLD_F_PATH)" + @$(ECHO) diff --git a/scribo/sandbox/green/use/accu/stat/histo1d/histo1d.cc b/scribo/sandbox/green/use/accu/stat/histo1d/histo1d.cc new file mode 100644 index 0000000..1c6176b --- /dev/null +++ b/scribo/sandbox/green/use/accu/stat/histo1d/histo1d.cc @@ -0,0 +1,24 @@ +/// \file +/// +/// \brief Minimal code for building 1d image histogram version. +/// + +#include <mln/accu/stat/histo1d.hh> +#include <mln/data/compute.hh> +#include <mln/core/image/image1d.hh> +#include <mln/core/image/image2d.hh> +#include <mln/img_path.hh> +#include <mln/io/pgm/load.hh> +#include <mln/value/int_u8.hh> + +int main() +{ + typedef mln::value::int_u8 t_int_u8; + mln::image2d<t_int_u8> img; + mln::image1d<unsigned> histo; + + mln::io::pgm::load(img, OLENA_IMG_PATH"/lena.pgm"); + histo = mln::data::compute(mln::accu::meta::stat::histo1d(), img); + + return 0; +} diff --git a/scribo/sandbox/green/use/accu/stat/histo2d/Makefile.am b/scribo/sandbox/green/use/accu/stat/histo2d/Makefile.am new file mode 100644 index 0000000..a96b2e9 --- /dev/null +++ b/scribo/sandbox/green/use/accu/stat/histo2d/Makefile.am @@ -0,0 +1,153 @@ +# +# Generic Makefile +# + +######### +# TOOLS # +######### + +#LOADLIBES= -lboost_filesystem +INCLUDES1= -I$(HOME)/git/olena/scribo/sandbox/green +INCLUDES2= -I$(HOME)/git/olena/milena +INCLUDES= $(INCLUDES1) $(INCLUDES2) +CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O3 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +ECHO= echo +RM= rm +MKDIR= mkdir -p +CP= cp + +SOURCE_PATTERN= green/use +BUILD__PATTERN= green/build/use + + +ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN)) +# Case where make is done from build directory. +SOURCE_DIR= $(subst $(BUILD__PATTERN),$(SOURCE_PATTERN),$(PWD)) +BUILD__DIR= $(PWD)/ +else +# Case where make is done from source directory. +SOURCE_DIR= $(PWD)/ +BUILD__DIR= $(subst $(SOURCE_PATTERN),$(BUILD__PATTERN),$(PWD)) +endif + +SRC= $(notdir $(wildcard $(SOURCE_DIR)/*.cc)) +OLD= $(notdir $(wildcard $(SOURCE_DIR)/*~)) +OBJ= $(patsubst %.cc,%.o,$(SRC)) +SOURCE_MAKEFILE=Makefile.am +BUILD__MAKEFILE=Makefile +TARGET_FILE= $(notdir $(PWD)) +SOURCE_FILES= $(notdir $(wildcard $(SOURCE_DIR)/*.*)) +BUILD__FILES= $(filter-out $(SRC) $(SOURCE_MAKEFILE), $(SOURCE_FILES)) + +BUILD__F_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__FILES)) +SOURCE_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_FILES)) + +BUILD__M_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__MAKEFILE)) +SOURCE_M_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_MAKEFILE)) + +TARGET_F_PATH= $(addprefix $(BUILD__DIR)/,$(TARGET_FILE)) +OBJ_F_PATH= $(addprefix $(BUILD__DIR)/,$(OBJ)) +SRC_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SRC)) +OLD_F_PATH= $(addprefix $(SOURCE_DIR)/,$(OLD)) + +############# +# BOOTSTRAP # +############# + + +bootstrap: $(BUILD__DIR) $(BUILD__F_PATH) $(BUILD__M_PATH) + +# Create, if nessary, the destination directory +$(BUILD__DIR): + $(MKDIR) $(BUILD__DIR) + +# Copy, if nessary, all the files, except the Makefile.am +$(BUILD__F_PATH): $(SOURCE_F_PATH) + $(CP) $(addprefix $(SOURCE_DIR),$(@F)) $@ + +# Copy if nessary, the Makefile.am into Makefile +$(BUILD__M_PATH): $(SOURCE_M_PATH) + $(CP) $(SOURCE_M_PATH) $(BUILD__M_PATH) + + +####### +# ALL # +####### + +# We assume that the call is done from the build directory. +# With the directive vpath, hidden files are found in the source directory. + +all: $(TARGET_F_PATH) + + +$(TARGET_F_PATH): $(OBJ_F_PATH) + $(LINK.cc) $< $(LOADLIBES) $(LDLIBS) -o $@ + +$(OBJ_F_PATH):$(SRC_F_PATH) + $(COMPILE.cc) $(OUTPUT_OPTION) $< + + +######### +# CLEAN # +######### + +# Force every time the deletion +clean: clean_target clean_obj clean_dst clean_old #clean_make + + +clean_target: + -@$(RM) $(TARGET_F_PATH) &> /dev/null + +clean_obj: + -@$(RM) $(OBJ_F_PATH) &> /dev/null + +clean_dst: + -@$(RM) $(BUILD_F_PATH) &> /dev/null + +clean_make: + -@$(RM) $(BUILD_M_PATH) &> /dev/null + +clean_old: + -@$(RM) $(OLD_F_PATH) &> /dev/null + + +######### +# PRINT # +######### + +print: print_tools print_bootstrap + +print_tools: + @$(ECHO) "HOME = $(HOME)" + @$(ECHO) "INCLUDES = $(INCLUDES)" + @$(ECHO) "CXXFLAGS = $(CXXFLAGS)" + @$(ECHO) "ECHO = $(ECHO)" + @$(ECHO) "RM = $(RM)" + @$(ECHO) "MKDIR = $(MKDIR)" + @$(ECHO) "CP = $(CP)" + @$(ECHO) + +print_bootstrap: + @$(ECHO) "PWD = $(PWD)" + @$(ECHO) "SOURCE_PATTERN = $(SOURCE_PATTERN)" + @$(ECHO) "BUILD__PATTERN = $(BUILD__PATTERN)" + @$(ECHO) "SOURCE_DIR = $(SOURCE_DIR)" + @$(ECHO) "BUILD__DIR = $(BUILD__DIR)" + @$(ECHO) "SOURCE_MAKEFILE = $(SOURCE_MAKEFILE)" + @$(ECHO) "BUILD__MAKEFILE = $(BUILD__MAKEFILE)" + @$(ECHO) "TARGET_FILE = $(TARGET_FILE)" + @$(ECHO) "SOURCE_FILES = $(SOURCE_FILES)" + @$(ECHO) "SOURCE_F_PATH = $(SOURCE_F_PATH)" + @$(ECHO) "BUILD__FILES = $(BUILD__FILES)" + @$(ECHO) "BUILD__F_PATH = $(BUILD__F_PATH)" + @$(ECHO) "BUILD__M_PATH = $(BUILD__M_PATH)" + @$(ECHO) "SOURCE_M_PATH = $(SOURCE_M_PATH)" + @$(ECHO) "SRC = $(SRC)" + @$(ECHO) "OBJ = $(OBJ)" + @$(ECHO) "OLD = $(OLD)" + @$(ECHO) "SRC_F_PATH = $(SRC_F_PATH)" + @$(ECHO) "OBJ_F_PATH = $(OBJ_F_PATH)" + @$(ECHO) "OLD_F_PATH = $(OLD_F_PATH)" + @$(ECHO) diff --git a/scribo/sandbox/green/use/accu/stat/histo2d/histo2d.cc b/scribo/sandbox/green/use/accu/stat/histo2d/histo2d.cc new file mode 100644 index 0000000..6369b5a --- /dev/null +++ b/scribo/sandbox/green/use/accu/stat/histo2d/histo2d.cc @@ -0,0 +1,33 @@ +/// \file +/// +/// \brief Minimal code for building 2d image histogram version. +/// + +#include <mln/accu/stat/histo2d.hh> +#include <mln/core/image/image2d.hh> +#include <mln/data/compute.hh> +#include <mln/data/transform.hh> +#include <mln/fun/v2v/rgb_to_rg.hh> +#include <mln/img_path.hh> +#include <mln/io/ppm/load.hh> +#include <mln/value/rg.hh> +#include <mln/value/rgb8.hh> + +int main() +{ + typedef mln::value::rg<8> t_rg8; + typedef mln::value::rgb8 t_rgb8; + typedef mln::fun::v2v::rgb_to_rg<8> t_rgb_to_rg; + typedef mln::image2d<t_rg8> t_image2d_rg8; + typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image2d<unsigned> t_histo; + t_image2d_rgb8 img_rgb8; + t_image2d_rg8 img_rg8; + t_histo histo; + + mln::io::ppm::load(img_rgb8, OLENA_IMG_PATH"/lena.ppm"); + img_rg8 = mln::data::transform(img_rgb8, t_rgb_to_rg()); + histo = mln::data::compute(mln::accu::meta::stat::histo2d(), img_rg8); + + return 0; +} -- 1.5.6.5

14 years, 2 months

last-svn-commit-41-gda5a388 Define accumulator which computes histogram view as image.

by Yann Jacquelet

* mln/img_path.hh: New header file. Define the 1d component version of the the library. * mln/accu/stat/histo1d.hh: New header file. Give an example of code. * use/accu/stat/histo1d: New directory. * use/accu/stat/histo1d/Makefile.am: New makefile. * use/accu/stat/histo1d/histo1d.cc: New source. Make some unitary tests on histo1d library. * tests/accu/stat/histo1d: New directory. * tests/accu/stat/histo1d/Makefile.am: New makefile. * tests/accu/stat/histo1d/histo1d.cc: New source. Define the 2d component version of the the library. * mln/accu/stat/histo2d.hh: New header file. * mln/value/rg.hh: New header file. * mln/fun/v2v/rgb_to_rg.hh: New header file. Give an example of code. * use/accu/stat/histo2d: New directory. * use/accu/stat/histo2d/Makefile.am: New makefile. * use/accu/stat/histo2d/histo2d.cc: New source. * use/value/rg: New directory. * use/value/rg/Makefile.am: New makefile. * use/value/rg/rg.cc: New source. * use/fun/v2v/rgb_to_rg: New directory. * use/fun/v2v/rgb_to_rg/Makefile.am: New makefile. * use/fun/v2v/rgb_to_rg/rgb_to_rg.cc: New source. Define the RGB 3d component version of the the library. * mln/accu/stat/histo3d_rgb.hh: New header file. * mln/fun/v2v/rgb8_to_rgbn.hh: New header file. Give an example of code. * use/accu/stat/histo3_rgb: New directory. * use/accu/stat/histo3d_rgb/Makefile.am: New makefile. * use/accu/stat/histo3d_rgb/histo3d_rgb.cc: New source. * use/fun/v2v/rgb8_to_rgbn: New directory. * use/fun/v2v/rgb8_to_rgbn/Makefile.am: New makefile. * use/fun/v2v/rgb8_to_rgbn/rgb8_to_rgbn.cc: New source. Make some unitary tests on histo3d library. * tests/accu/stat/histo3d_rgb: New directory. * tests/accu/stat/histo3d_rgb/Makefile.am: New makefile. * tests/accu/stat/histo3d_rgb/histo3d_rgb.cc: New source. Define the HSL 3d component version of the the library. * mln/accu/stat/histo3d_hsl.hh: New header file. Give an example of code. * use/accu/stat/histo3_hsl: New directory. * use/accu/stat/histo3d_hsl/Makefile.am: New makefile. * use/accu/stat/histo3d_hsl/histo3d_hsl.cc: New source. Make some unitary tests on histo3d library. * tests/accu/stat/histo3d_hsl: New directory. * tests/accu/stat/histo3d_hsl/Makefile.am: New makefile. * tests/accu/stat/histo3d_hsl/histo3d_hsl.cc: New source. --- scribo/sandbox/green/ChangeLog | 82 +++- scribo/sandbox/green/README | 73 +++- scribo/sandbox/green/mln/accu/stat/histo1d.hh | 32 +- scribo/sandbox/green/mln/accu/stat/histo2d.hh | 75 ++-- scribo/sandbox/green/mln/accu/stat/histo3d_hsl.hh | 249 +++++----- scribo/sandbox/green/mln/accu/stat/histo3d_rgb.hh | 138 +++--- scribo/sandbox/green/mln/fun/v2v/rgb8_to_rgbn.hh | 49 ++- scribo/sandbox/green/mln/fun/v2v/rgb_to_rg.hh | 2 - .../green/tests/accu/stat/histo1d/histo1d.cc | 502 +++++++++++++++++++- .../accu/stat/{histo1d => histo3d_hsl}/Makefile.am | 0 .../tests/accu/stat/histo3d_hsl/histo3d_hsl.cc | 394 +++++++--------- .../accu/stat/{histo1d => histo3d_rgb}/Makefile.am | 0 .../tests/accu/stat/histo3d_rgb/histo3d_rgb.cc | 355 +++++++------- .../sandbox/green/use/accu/stat/histo1d/histo1d.cc | 27 + .../sandbox/green/use/accu/stat/histo2d/histo2d.cc | 25 + .../accu/stat/{histo1d => histo3d_hsl}/Makefile.am | 0 .../green/use/accu/stat/histo3d_hsl/histo3d_hsl.cc | 56 ++-- .../accu/stat/{histo1d => histo3d_rgb}/Makefile.am | 0 .../green/use/accu/stat/histo3d_rgb/histo3d_rgb.cc | 45 +- .../histo1d => fun/v2v/rgb8_to_rgbn}/Makefile.am | 0 .../green/use/fun/v2v/rgb8_to_rgbn/rgb8_to_rgbn.cc | 45 +- .../stat/histo1d => fun/v2v/rgb_to_rg}/Makefile.am | 0 .../green/use/fun/v2v/rgb_to_rg/rgb_to_rg.cc | 51 +- .../{accu/stat/histo1d => value/rg}/Makefile.am | 0 .../sandbox/green/use/value/rg/rg.cc | 51 +- 25 files changed, 1450 insertions(+), 801 deletions(-) copy scribo/sandbox/green/tests/accu/stat/{histo1d => histo3d_hsl}/Makefile.am (100%) copy {milena => scribo}/sandbox/green/tests/accu/stat/histo3d_hsl/histo3d_hsl.cc (73%) copy scribo/sandbox/green/tests/accu/stat/{histo1d => histo3d_rgb}/Makefile.am (100%) copy {milena => scribo}/sandbox/green/tests/accu/stat/histo3d_rgb/histo3d_rgb.cc (64%) copy scribo/sandbox/green/use/accu/stat/{histo1d => histo3d_hsl}/Makefile.am (100%) copy milena/tests/fun/v2v/rgb_to_hsl.cc => scribo/sandbox/green/use/accu/stat/histo3d_hsl/histo3d_hsl.cc (57%) copy scribo/sandbox/green/use/accu/stat/{histo1d => histo3d_rgb}/Makefile.am (100%) copy milena/tests/io/ppm/ppm.cc => scribo/sandbox/green/use/accu/stat/histo3d_rgb/histo3d_rgb.cc (63%) copy scribo/sandbox/green/use/{accu/stat/histo1d => fun/v2v/rgb8_to_rgbn}/Makefile.am (100%) copy milena/tests/io/ppm/ppm.cc => scribo/sandbox/green/use/fun/v2v/rgb8_to_rgbn/rgb8_to_rgbn.cc (63%) copy scribo/sandbox/green/use/{accu/stat/histo1d => fun/v2v/rgb_to_rg}/Makefile.am (100%) copy milena/tests/fun/v2v/hsl_to_rgb.cc => scribo/sandbox/green/use/fun/v2v/rgb_to_rg/rgb_to_rg.cc (59%) copy scribo/sandbox/green/use/{accu/stat/histo1d => value/rg}/Makefile.am (100%) copy milena/tests/fun/v2v/hsl_to_rgb.cc => scribo/sandbox/green/use/value/rg/rg.cc (60%) diff --git a/scribo/sandbox/green/ChangeLog b/scribo/sandbox/green/ChangeLog index 6a3c8fa..8f5101b 100644 --- a/scribo/sandbox/green/ChangeLog +++ b/scribo/sandbox/green/ChangeLog @@ -38,12 +38,84 @@ 2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> - Save histogram library. + Define accumulator which computes histogram view as image. + + * mln/img_path.hh: New header file. + + Define the 1d component version of the the library. + + * mln/accu/stat/histo1d.hh: New header file. + + Give an example of code. + + * use/accu/stat/histo1d: New directory. + * use/accu/stat/histo1d/Makefile.am: New makefile. + * use/accu/stat/histo1d/histo1d.cc: New source. + + Make some unitary tests on histo1d library. + + * tests/accu/stat/histo1d: New directory. + * tests/accu/stat/histo1d/Makefile.am: New makefile. + * tests/accu/stat/histo1d/histo1d.cc: New source. + + Define the 2d component version of the the library. + + * mln/accu/stat/histo2d.hh: New header file. + * mln/value/rg.hh: New header file. + * mln/fun/v2v/rgb_to_rg.hh: New header file. + + Give an example of code. + + * use/accu/stat/histo2d: New directory. + * use/accu/stat/histo2d/Makefile.am: New makefile. + * use/accu/stat/histo2d/histo2d.cc: New source. + + * use/value/rg: New directory. + * use/value/rg/Makefile.am: New makefile. + * use/value/rg/rg.cc: New source. + + * use/fun/v2v/rgb_to_rg: New directory. + * use/fun/v2v/rgb_to_rg/Makefile.am: New makefile. + * use/fun/v2v/rgb_to_rg/rgb_to_rg.cc: New source. + + Define the RGB 3d component version of the the library. + + * mln/accu/stat/histo3d_rgb.hh: New header file. + * mln/fun/v2v/rgb8_to_rgbn.hh: New header file. + + Give an example of code. + + * use/accu/stat/histo3_rgb: New directory. + * use/accu/stat/histo3d_rgb/Makefile.am: New makefile. + * use/accu/stat/histo3d_rgb/histo3d_rgb.cc: New source. + + * use/fun/v2v/rgb8_to_rgbn: New directory. + * use/fun/v2v/rgb8_to_rgbn/Makefile.am: New makefile. + * use/fun/v2v/rgb8_to_rgbn/rgb8_to_rgbn.cc: New source. + + Make some unitary tests on histo3d library. + + * tests/accu/stat/histo3d_rgb: New directory. + * tests/accu/stat/histo3d_rgb/Makefile.am: New makefile. + * tests/accu/stat/histo3d_rgb/histo3d_rgb.cc: New source. + + + Define the HSL 3d component version of the the library. + + * mln/accu/stat/histo3d_hsl.hh: New header file. + + Give an example of code. + + * use/accu/stat/histo3_hsl: New directory. + * use/accu/stat/histo3d_hsl/Makefile.am: New makefile. + * use/accu/stat/histo3d_hsl/histo3d_hsl.cc: New source. + + Make some unitary tests on histo3d library. + + * tests/accu/stat/histo3d_hsl: New directory. + * tests/accu/stat/histo3d_hsl/Makefile.am: New makefile. + * tests/accu/stat/histo3d_hsl/histo3d_hsl.cc: New source. - * mln/accu/histo/histo1d.hh: New header file. - * mln/accu/histo/histo2d.hh: New header file. - * mln/accu/histo/histo3d_rgb.hh: New header file. - * mln/accu/histo/histo3d_hsl.hh: New header file. 2010-06-21 Yann Jacquelet <jacquelet(a)lrde.epita.fr> diff --git a/scribo/sandbox/green/README b/scribo/sandbox/green/README index 3efe50d..4b6fb26 100644 --- a/scribo/sandbox/green/README +++ b/scribo/sandbox/green/README @@ -153,18 +153,8 @@ d'exécution (chmod 755 gnuplot_shell_file.sh). Comme je trouve le format extrêmement pratique, il se retrouve preque partout dans mes sources. -V MLN ------ - -a) La sauvegarde des images au format gnuplot shell - -* mln/io/plot/save_image_sh.hh: Librairie sauvegarde format gnuplot shell. - -to do ... - - - -b) Les histogrammes +V HISTOGRAMMES +-------------- Un des travaux demandés par théo est la réalisation d'une librairie d'histogramme permettant de fournir un résultat sous forme d'image. @@ -178,20 +168,67 @@ de comptage puisqu'il est décrit sous la forme de triplets de float contient une séquence d'appels pour les routines permettant de considérer la dimension de la teinte comme circulaire. + +a) version 1d + * mln/accu/stat/histo1d.hh: Accumulateur histogramme image1d. * use/accu/stat/histo1d: Code minimal utilisant un histogramme 1d. +* tests/accu/stat/histo1d: Test unitaire sur l'histogramme 1d. + + +b) version 2d -* mln/accu/stat/histo2d.hh: Accumulateur histogramme image2d. * mln/value/rg.hh: Définition du type vectoriel 2d rouge/vert (RG). +* use/value/rg: Exemple de code pour l'utilisation de rg. + * mln/fun/v2v/rgb_to_rg.hh: Transformation de l'espace RGB vers l'espace RG. +* use/fun/v2v/rgb_to_rg: Exemple de code pour l'utilisation de rgb_to_rg. + +* mln/accu/stat/histo2d.hh: Accumulateur histogramme image2d. * use/accu/stat/histo2d: Code minimal utilisant un histogramme 2d. -* mln/accu/stat/histo3d_rgb.hh: Accumulateur histogramme image3d RGB. -* mln/accu/stat/histo3d_hsl.hh: Accumulateur histogramme image3d HSL. +c) version 3d RGB + + +* mln/fun/v2v/rgb8_to_rgbn.hh: Diminution de la quantification (n < 8 bits). +* use/fun/v2v/rgb8_to_rgbn: Exemple de code pour l'utilisation de rgb8_to_rgbn. +* mln/accu/stat/histo3d_rgb.hh: Accumulateur histogramme image3d RGB. * use/accu/stat/histo3_rgb: Code minimal utilisant un histogramme 3d RGB. + + + +d) version 3d HSL + +* mln/accu/stat/histo3d_hsl.hh: Accumulateur histogramme image3d HSL. * use/accu/stat/histo3_hsl: Code minimal utilisant un histogramme 3d HSL. +* tests/accu/stat/histo3d_hsl: Test unitaire sur l'histogramme HSL 3d. + +Le code HSL ne compile plus car l'interface liant la transformation du +domaine et la fonction fold a changée. Je n'ai pas le temps de +regarder plus avant. + + + +V MLN +----- + +a) La sauvegarde des images au format gnuplot shell + +* mln/io/plot/save_image_sh.hh: Librairie sauvegarde format gnuplot shell. + +to do ... + + + +b) Les histogrammes + + + + + + @@ -210,6 +247,12 @@ considérer la dimension de la teinte comme circulaire. * use/accu/stat/histo3d_hsl * tests/accu/stat/histo3d_hsl +VI SAUVEGARDE FORMAT GNUPLOT SHELL +---------------------------------- + + +VII VISUALISATION HISTOGRAMMES 3D +--------------------------------- c) La visualisation des histogrammes 3d diff --git a/scribo/sandbox/green/mln/accu/stat/histo1d.hh b/scribo/sandbox/green/mln/accu/stat/histo1d.hh index d480cf0..fae94c8 100644 --- a/scribo/sandbox/green/mln/accu/stat/histo1d.hh +++ b/scribo/sandbox/green/mln/accu/stat/histo1d.hh @@ -24,7 +24,7 @@ // executable file might be covered by the GNU General Public License. #ifndef MLN_ACCU_STAT_HISTO1D_HH -#define MLN_ACCU_STAT_HISTO1D_HH +# define MLN_ACCU_STAT_HISTO1D_HH /// \file /// @@ -64,24 +64,24 @@ /// } -#include <iostream> +# include <iostream> -#include <mln/accu/internal/base.hh> +# include <mln/accu/internal/base.hh> -#include <mln/arith/plus.hh> +# include <mln/arith/plus.hh> -#include <mln/core/concept/meta_accumulator.hh> -#include <mln/core/image/image1d.hh> -#include <mln/core/macros.hh> +# include <mln/core/concept/meta_accumulator.hh> +# include <mln/core/image/image1d.hh> +# include <mln/core/macros.hh> -#include <mln/literal/zero.hh> +# include <mln/literal/zero.hh> -#include <mln/trace/entering.hh> -#include <mln/trace/exiting.hh> +# include <mln/trace/entering.hh> +# include <mln/trace/exiting.hh> -#include <mln/trait/value/comp.hh> +# include <mln/trait/value/comp.hh> -#include <mln/value/ops.hh> +# include <mln/value/ops.hh> namespace mln { @@ -168,7 +168,7 @@ namespace mln typedef image1d<unsigned> result; typedef result q_result; - /// Constructors + /// Constructors. /// \{ /// \brief Infer the size of the resulting image1d domain. /// @@ -201,7 +201,6 @@ namespace mln /// /// The end user shouldn't call this method. This is part of /// data compute interface mechanism. - void take(const histo1d<V>& other); /// \} @@ -231,11 +230,10 @@ namespace mln /// /// The operator compares all the bins from the two histograms. /// Nobody uses this method unless unitary tests. - template <typename V> bool operator==(const histo1d<V>& histo1, const histo1d<V>& histo2); -#ifndef MLN_INCLUDE_ONLY +# ifndef MLN_INCLUDE_ONLY template <typename V> inline @@ -328,7 +326,7 @@ namespace mln return result; } -#endif // ! MLN_INCLUDE_ONLY +# endif // ! MLN_INCLUDE_ONLY } // end of namespace mln::accu::stat diff --git a/scribo/sandbox/green/mln/accu/stat/histo2d.hh b/scribo/sandbox/green/mln/accu/stat/histo2d.hh index c28723c..11a1bb3 100644 --- a/scribo/sandbox/green/mln/accu/stat/histo2d.hh +++ b/scribo/sandbox/green/mln/accu/stat/histo2d.hh @@ -73,14 +73,16 @@ # include <mln/accu/internal/base.hh> +# include <mln/arith/plus.hh> + # include <mln/core/macros.hh> # include <mln/core/image/image2d.hh> # include <mln/core/alias/point2d.hh> # include <mln/core/alias/box2d.hh> -# include <mln/trait/value/comp.hh> +#include <mln/literal/zero.hh> -# include <mln/arith/plus.hh> +# include <mln/trait/value/comp.hh> # include <mln/trace/entering.hh> # include <mln/trace/exiting.hh> @@ -152,13 +154,13 @@ namespace mln namespace stat { - /// \brief Define an histogram which returns an image3d . + /// \brief Define a histogram as accumulator which returns an image2d. /// - /// Param V defines the space in which we count the values. - /// For instance, this histogram works image2d<rgb<2>> or - /// image2d<rgb<7>>. The histogram count the occurrence of each value. - /// The number of bins depends of the grayscale values, for 8 bits there - /// is 256x3 bins. Note that over + /// Param V defines the type of the input image value. It is in + /// this space that we count the values. For instance, this + /// histogram works well for image2d< rgb<2> > or with image2d< + /// rgb<7> >. The number of bins depends directly the values V. + /// For 8 bits there is 256x3 bins. Note that less /// quantification works too. /// /// \ingroup modaccuvalues @@ -171,16 +173,15 @@ namespace mln typedef image2d<unsigned> result; typedef result q_result; - /// Constructors + /// Constructors. /// \{ - /// \brief Initialize the size of the resulting image1d. + /// \brief Infer the size of the resulting image2d domain. /// - /// Initialize the size the resulting image from the theorical dynamic - /// of the greylevel values (Use V to manage it). + /// By evaluating the minimum and the maximum of V, we define the domain + /// of the resulting image2d. histo2d(); /// \} - /// Manipulators. /// \{ /// \brief Initialize the histogram with zero value. @@ -190,23 +191,24 @@ namespace mln /// density. void init(); - - /// \brief Update the histogram with the RGB pixel t. - /// \param[in] t a greylevel pixel of type V. + /// \brief Update the histogram with the RG pixel t. + /// \param[in] t a graylevel pixel of type V. /// /// The end user shouldn't call this method. In place of it, he can /// go through the data compute interface. void take(const argument& t); - /// \brief Update the histogram with an other histogram. /// \param[in] other the other histogram. + /// + /// The end user shouldn't call this method. This is part of + /// data compute interface mechanism. void take(const histo2d<V>& other); /// \} /// Accessors. /// \{ - /// \brief Return the histogram as an image1d. + /// \brief Return the histogram as an image2d. /// /// This is the machinery to communicate with data compute interface. /// The end user should'nt use it. @@ -228,19 +230,19 @@ namespace mln /// \param[in] histo1 the first histogram to compare with. /// \param[in] histo2 the second histogram. /// - /// The operator compare all the bins from the two histogram. - + /// The operator compares all the bins from the two histograms. + /// Nobody uses this method unless unitary tests. template <typename V> bool operator==(const histo2d<V>& histo1, const histo2d<V>& histo2); -#ifndef MLN_INCLUDE_ONLY +# ifndef MLN_INCLUDE_ONLY template <typename V> inline histo2d<V>::histo2d() { - trace::entering("mln::accu::stat::histo2d::histo2d"); + trace::entering("mln::accu::stat::histo2d::cstor"); typedef mln_trait_value_comp(V,0) comp0; typedef mln_trait_value_comp(V,1) comp1; @@ -253,31 +255,24 @@ namespace mln point2d(mln_max(comp0), mln_max(comp1)))); - trace::exiting("mln::accu::stat::histo2d::histo2d"); + trace::exiting("mln::accu::stat::histo2d::cstor"); } template <typename V> inline void histo2d<V>::init() { - trace::entering("mln::accu::stat::histo2d::init"); - - data::fill(count_, 0); - trace::exiting("mln::accu::stat::histo2d::init"); + data::fill(count_, literal::zero); } template <typename V> inline void histo2d<V>::take(const argument& t) { - trace::entering("mln::accu::stat::histo2d::take"); - // Just convert a greyscale value (int_u8 like) to a position for an // iterator on the resulting image. // Take care to the constructor : Point(slice, row, column) ++count_(point2d(t.red(), t.green())); - - trace::exiting("mln::accu::stat::histo2d::take"); } @@ -285,20 +280,13 @@ namespace mln inline void histo2d<V>::take(const histo2d<V>& other) { - trace::entering("mln::accu::stat::histo2d::take"); - count_ += other.count_; - - trace::exiting("mln::accu::stat::histo2d::take"); } template <typename V> inline typename histo2d<V>::result histo2d<V>::to_result() const { - trace::entering("mln::accu::stat::histo2d::to_result"); - - trace::exiting("mln::accu::stat::histo2d::to_result"); return count_; } @@ -306,9 +294,6 @@ namespace mln inline histo2d<V>::operator result() const { - trace::entering("mln::accu::stat::histo2d::operator result"); - - trace::exiting("mln::accu::stat::histo2d::operator result"); return count_; } @@ -316,10 +301,8 @@ namespace mln inline bool histo2d<V>::is_valid() const { - trace::entering("mln::accu::stat::histo2d::is_valid"); bool result = count_.is_valid(); - trace::exiting("mln::accu::stat::histo2d::is_valid"); return result; } @@ -327,7 +310,7 @@ namespace mln bool operator==(const histo2d<V>& histo1, const histo2d<V>& histo2) { - trace::entering("mln::accu::stat::operator=="); + trace::entering("mln::accu::stat::histo2d::operator=="); bool result = true; const image2d<unsigned>& res1 = histo1.to_result(); @@ -342,11 +325,11 @@ namespace mln for_all_2(p1, p2) result &= (res1(p1) == res2(p2)); - trace::exiting("mln::accu::stat::operator=="); + trace::exiting("mln::accu::stat::histo2d::operator=="); return result; } -#endif // ! MLN_INCLUDE_ONLY +# endif // ! MLN_INCLUDE_ONLY } // end of namespace mln::accu::stat diff --git a/scribo/sandbox/green/mln/accu/stat/histo3d_hsl.hh b/scribo/sandbox/green/mln/accu/stat/histo3d_hsl.hh index c84aaa4..35d78e2 100644 --- a/scribo/sandbox/green/mln/accu/stat/histo3d_hsl.hh +++ b/scribo/sandbox/green/mln/accu/stat/histo3d_hsl.hh @@ -1,6 +1,4 @@ -// Copyright (C) 2007 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2008 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE // // This file is part of Olena. // @@ -26,82 +24,115 @@ // executable file might be covered by the GNU General Public License. #ifndef MLN_ACCU_STAT_HISTO3D_HSL_HH -#define MLN_ACCU_STAT_HISTO3D_HSL_HH +# define MLN_ACCU_STAT_HISTO3D_HSL_HH /// \file /// -/// \brief Define a histogram as an accumulator which returns an image1d . +/// \brief Define a histogram as accumulator which returns an HSL image3d. +/// +/// This source implements the discrete histogram version. It was +/// created for images which the values are derived from integer +/// type. The number of bins is given by the user via the q parameter. +/// It works for HSL space. /// -/// This source implements the discrete histogram version. The number of beans -/// is infer from the number of greylevels. A typical int_u8 image has got -/// 256 bins. An int_u16 image has got 65535 bins. /// The following sample is a typical use of the histogram. /// -/// #include <mln/value/int_u8.hh> -/// #include <mln/core/image/image1d.hh> +/// #include <mln/accu/stat/histo3d_hsl.hh> /// #include <mln/core/image/image2d.hh> -/// #include <mln/io/pgm/load.hh> -/// #include <mln/accu/stat/histo1d.hh> +/// #include <mln/core/image/image3d.hh> /// #include <mln/data/compute.hh> -/// #include <mln/io/plot/save_histo_sh.hh> -/// -/// #define OLENA_LENA "/usr/local/share/olena/images/lena.pgm" +/// #include <mln/data/transform.hh> +/// #include <mln/fun/v2v/rgb_to_hsl.hh> +/// #include <mln/img_path.hh> +/// #include <mln/io/ppm/load.hh> +/// #include <mln/value/hsl.hh> +/// #include <mln/value/rgb8.hh> /// -/// void test() +/// int main() /// { -/// typedef mln::value::int_u8 int_u8; -/// mln::image2d<int_u8> img_ref; -/// mln::image1d<unsigned> img_res; +/// typedef mln::value::rgb8 t_rgb; +/// typedef mln::value::hsl_f t_hsl; +/// typedef mln::fun::v2v::f_rgb_to_hsl_<t_hsl> t_rgb_to_hsl; +/// mln::image2d<t_rgb> img_rgb; +/// mln::image2d<t_hsl> img_hsl; +/// mln::image3d<unsigned> histo; +/// +/// mln::io::ppm::load(img_rgb, OLENA_IMG_PATH"/lena.ppm"); +/// img_hsl = mln::data::transform(img_rgb, t_rgb_to_hsl()); +/// histo=mln::data::compute(mln::accu::meta::stat::histo3d_hsl<7>(),img_hsl); /// -/// mln::io::pgm::load(img_ref, OLENA_LENA); -/// img_res = mln::data::compute(mln::accu::stat::histo1d<int_u8>(), img_ref); +/// return 0; /// } +/// +/// \fixme This implementation is very doubtfull ! Be carefull !! +/// \fixme This code should be compile, but it doesn't! +/// \fixme The fold interface has changed v2v -> p2p or the inverse. + +# include <iostream> -#include <iostream> +# include <mln/accu/internal/base.hh> -#include <mln/accu/internal/base.hh> +# include <mln/arith/plus.hh> -#include <mln/core/macros.hh> -#include <mln/core/image/image3d.hh> -#include <mln/core/alias/point3d.hh> -#include <mln/core/alias/box3d.hh> +# include <mln/core/alias/point3d.hh> +# include <mln/core/alias/box3d.hh> +# include <mln/core/image/image3d.hh> +# include <mln/core/image/dmorph/transformed_image.hh> +# include <mln/core/macros.hh> -#include <mln/value/int_u.hh> -#include <mln/trait/value/comp.hh> +# include <mln/fun/p2p/fold.hh> -#include <mln/arith/plus.hh> +# include <mln/literal/zero.hh> -#include <mln/trace/entering.hh> -#include <mln/trace/exiting.hh> +# include <mln/trace/entering.hh> +# include <mln/trace/exiting.hh> -#include <mln/value/ops.hh> +# include <mln/trait/value/comp.hh> -// make hue cyclic -#include <mln/fun/p2p/fold.hh> -#include <mln/core/image/dmorph/transformed_image.hh> +# include <mln/value/int_u.hh> +# include <mln/value/ops.hh> namespace mln { - + namespace accu { - + namespace stat { - + // Forward declaration template <unsigned q, typename V> struct histo3d_hsl; } // end of namespace mln::accu::stat - - } // end of namespace mln::accu + namespace meta + { + + namespace stat + { + + template <unsigned q> + struct histo3d_hsl : public Meta_Accumulator< histo3d_hsl<q> > + { + template <typename V> + struct with + { + typedef accu::stat::histo3d_hsl<q,V> ret; + }; + }; + + } // end of namespace mln::accu::meta::stat + + } // end of namespace mln::accu::meta + + } // end of namespace mln::accu namespace trait { - + template <unsigned q, typename V> struct accumulator_< mln::accu::stat::histo3d_hsl<q,V> > { @@ -112,65 +143,59 @@ namespace mln }; template <unsigned q, typename V> - struct set_precise_binary_<op::eq, + struct set_precise_binary_<op::eq, accu::stat::histo3d_hsl<q,V>, accu::stat::histo3d_hsl<q,V> > { typedef bool ret; }; - + } // end of namespace mln::trait namespace accu { - + namespace stat - { + { - /// \brief Define an histogram which returns an image1d . + + /// \brief Define a histogram as accumulator which returns an image3d. /// - /// Param V defines the space in which we count the values. - /// For instance, this histogram works image2d<int_u8> or - /// image1d<int_u16>. The histogram count the occurrence of each value. - /// The number of bins depends of the greyscale values, for 8 bits there - /// is 256 bins, for 16 bits there is 65536 bins. Note that over - /// quantification works too. + /// Param q defines the number of bins per axe. + /// Param V defines the type of the input image value. We assume that + /// V is a kind of hsl_<float,float,float>. /// /// \ingroup modaccuvalues - - /// q is the number of bins per axe because quantification info are died. - /// we assume that V is a kind of hsl_<float,float,float> - template <unsigned q, typename V> - struct histo3d_hsl : + struct histo3d_hsl : public mln::accu::internal::base<image3d<unsigned>, histo3d_hsl<q,V> > { typedef V argument; typedef image3d<unsigned> result; typedef result q_result; - /// Constructors + /// Constructors. /// \{ - /// \brief Initialize the size of the resulting image1d. + /// \brief Infer the size of the resulting image3d domain. /// - /// Initialize the size the resulting image from the theorical dynamic - /// of the greylevel values (Use V to manage it). + /// By evaluating the minimum and the maximum of V, we define the domain + /// of the resulting image3d. histo3d_hsl(); /// \} - + /// Manipulators. /// \{ /// \brief Initialize the histogram with zero value. /// - /// This method must be called just before starting the use of the - /// histogram. If it's not, resulting values won't converge to the + /// This method must be called just before starting the use of the + /// histogram. If it's not, resulting values won't converge to the /// density. void init(); - + /// \brief Update the histogram with the RGB pixel t. - /// \param[in] t a greylevel pixel of type V. + /// \param[in] t a graylevel pixel of type V. /// /// The end user shouldn't call this method. In place of it, he can /// go through the data compute interface. @@ -179,12 +204,15 @@ namespace mln /// \brief Update the histogram with an other histogram. /// \param[in] other the other histogram. + /// + /// The end user shouldn't call this method. This is part of + /// data compute interface mechanism. void take(const histo3d_hsl<q,V>& other); /// \} /// Accessors. /// \{ - /// \brief Return the histogram as an image1d. + /// \brief Return the histogram as an HSL image3d. /// /// This is the machinery to communicate with data compute interface. /// The end user should'nt use it. @@ -208,31 +236,31 @@ namespace mln const float min_sat; const float max_sat; float step_sat; - result count_; + result count_; }; /// \brief Check wethever an histogram is equal to an other one. /// \param[in] histo1 the first histogram to compare with. /// \param[in] histo2 the second histogram. /// - /// The operator compare all the bins from the two histogram. - + /// The operator compares all the bins from the two histograms. + /// Nobody uses this method unless unitary tests. template <unsigned q, typename V> - bool operator==(const histo3d_hsl<q,V>& histo1, + bool operator==(const histo3d_hsl<q,V>& histo1, const histo3d_hsl<q,V>& histo2); -#ifndef MLN_INCLUDE_ONLY +# ifndef MLN_INCLUDE_ONLY template <unsigned q, typename V> inline histo3d_hsl<q,V>::histo3d_hsl() : min_hue(0.0), max_hue(360.0), - min_lum(0.0), max_lum(1.0), - min_sat(0.0), max_sat(1.0) + min_lum(0.0), max_lum(1.0), + min_sat(0.0), max_sat(1.0) { - trace::entering("mln::accu::stat::histo3d_hsl<q,V>::histo3d_hsl"); - - // As there is no info about preceding color space - // we ask the end user to specify the quantification he's looking for. + trace::entering("mln::accu::stat::histo3d_hsl::cstor"); + + /// As there is no info about preceding color space + /// we ask the end user to specify the quantification he's looking for. count_.init_(box3d(point3d(mln_min(value::int_u<q>), mln_min(value::int_u<q>), @@ -241,7 +269,7 @@ namespace mln mln_max(value::int_u<q>), mln_max(value::int_u<q>)))); - // Make the hue domain cyclic + /// Make the hue domain cyclic fun::p2p::fold<point3d,1,0,0> fold_(count_.domain()); transform_domain(count_, fold_); @@ -249,39 +277,34 @@ namespace mln step_lum = (max_lum - min_lum)/q; step_sat = (max_sat - min_sat)/q; - trace::exiting("mln::accu::stat::histo3d_hsl<q,V>::histo3d_hsl"); + trace::exiting("mln::accu::stat::histo3d_hsl::cstor"); } template <unsigned q, typename V> inline void histo3d_hsl<q,V>::init() { - trace::entering("mln::accu::stat::histo3d_hsl<q,V>::init"); - - data::fill(count_, 0); - trace::exiting("mln::accu::stat::histo3d_hsl<q,V>::init"); + data::fill(count_, literal::zero); } template <unsigned q, typename V> inline void histo3d_hsl<q,V>::take(const argument& t) { - trace::entering("mln::accu::stat::histo3d_hsl<q,V>::take"); - - // Just convert a greyscale value (int_u8 like) to a position for an + // Just convert a greyscale value (int_u8 like) to a position for an // iterator on the resulting image. //++count_(point3d(t.red(), t.green(), t.blue())); - - + + // Technical way to access i° component without kwnowing the name // mln::trait::value_<argument>::get_comp_0(t); - + // is def::coord1d the type of x, y, z ?? unsigned x = (t.hue() - min_hue)/step_hue; - unsigned y = (t.lum() - min_lum)/step_lum; - unsigned z = (t.sat() - min_sat)/step_sat; + unsigned y = (t.sat() - min_sat)/step_sat; + unsigned z = (t.lum() - min_lum)/step_lum; /* - + std::cout << "H : " << t.hue() << std::endl; std::cout << "L : " << t.lum() << std::endl; std::cout << "S : " << t.sat() << std::endl; @@ -295,66 +318,50 @@ namespace mln std::cout << "Z : " << z << std::endl; */ - // faire attention avec les histoires de points et leurs coordonnées ++count_(point3d(z, x, y)); - //++count_(point3d(t.hue(), t.sat(), t.lum())); - - trace::exiting("mln::accu::stat::histo3d_hsl<q,V>::take"); } - + template <unsigned q, typename V> inline void histo3d_hsl<q,V>::take(const histo3d_hsl<q,V>& other) { - trace::entering("mln::accu::stat::histo3d_hsl<q,V>::take"); - count_ += other.count_; - - trace::exiting("mln::accu::stat::histo3d_hsl<q,V>::take"); } - + template <unsigned q, typename V> inline typename histo3d_hsl<q,V>::result histo3d_hsl<q,V>::to_result() const { - trace::entering("mln::accu::stat::histo3d_hsl<q,V>::to_result"); - - trace::exiting("mln::accu::stat::histo3d_hsl<q,V>::to_result"); return count_; } - + template <unsigned q, typename V> inline histo3d_hsl<q,V>::operator result() const { - trace::entering("mln::accu::stat::histo3d_rgb<q,V>::operator result"); - - trace::exiting("mln::accu::stat::histo3d_rgb<q,V>::operator result"); return count_; - } + } template <unsigned q, typename V> inline bool histo3d_hsl<q,V>::is_valid() const { - trace::entering("mln::accu::stat::histo3d_hsl<q,V>::is_valid"); bool result = count_.is_valid(); - - trace::exiting("mln::accu::stat::histo3d_hsl<q,V>::is_valid"); + return result; } template <unsigned q, typename V> - bool operator==(const histo3d_hsl<q,V>& histo1, + bool operator==(const histo3d_hsl<q,V>& histo1, const histo3d_hsl<q,V>& histo2) { - trace::entering("mln::accu::stat::operator=="); + trace::entering("mln::accu::stat::histo3d_hsl::operator=="); bool result = true; const image3d<unsigned>& res1 = histo1.to_result(); const image3d<unsigned>& res2 = histo2.to_result(); - + mln_precondition(res1.is_valid()); mln_precondition(res2.is_valid()); @@ -364,11 +371,11 @@ namespace mln for_all_2(p1, p2) result &= (res1(p1) == res2(p2)); - trace::exiting("mln::accu::stat::operator=="); + trace::exiting("mln::accu::stat::histo3d_hsl::operator=="); return result; } -#endif // ! MLN_INCLUDE_ONLY +# endif // ! MLN_INCLUDE_ONLY } // end of namespace mln::accu::stat @@ -377,4 +384,4 @@ namespace mln } // end of namespace mln -#endif // ! MLN_ACCU_STAT_HISTO3D_RGB_HH +#endif // ! MLN_ACCU_STAT_HISTO3D_HSL_HH diff --git a/scribo/sandbox/green/mln/accu/stat/histo3d_rgb.hh b/scribo/sandbox/green/mln/accu/stat/histo3d_rgb.hh index 48c49da..6a48024 100644 --- a/scribo/sandbox/green/mln/accu/stat/histo3d_rgb.hh +++ b/scribo/sandbox/green/mln/accu/stat/histo3d_rgb.hh @@ -1,6 +1,4 @@ -// Copyright (C) 2007 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2008 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE // // This file is part of Olena. // @@ -26,54 +24,67 @@ // executable file might be covered by the GNU General Public License. #ifndef MLN_ACCU_STAT_HISTO3D_RGB_HH -#define MLN_ACCU_STAT_HISTO3D_RGB_HH +# define MLN_ACCU_STAT_HISTO3D_RGB_HH /// \file /// -/// \brief Define a histogram as an accumulator which returns an image1d . +/// \brief Define a histogram as accumulator which returns an image3d. +/// +/// This source implements the discrete histogram version. It was +/// created for images which the values are derived from integer +/// type. The number of bins is directly infered from the cardinality +/// of the image value. It works for RGB space. See histo1d.hh for limitations +/// of such implementation. 8 bits quantification is very +/// expensive, it produces image3d with [0..255,0..255,0..255] as domain. /// -/// This source implements the discrete histogram version. The number of beans -/// is infer from the number of greylevels. A typical rgb8 image has got -/// 256x3 bins. Working with a 8 bit quantification in rgb is very costly. /// The following sample is a typical use of the histogram. /// -/// #include <mln/value/rgb.hh> -/// #include <mln/core/image/image1d.hh> -/// #include <mln/core/image/image3d.hh> -/// #include <mln/io/ppm/load.hh> /// #include <mln/accu/stat/histo3d_rgb.hh> +/// #include <mln/core/image/image2d.hh> +/// #include <mln/core/image/image3d.hh> /// #include <mln/data/compute.hh> +/// #include <mln/data/transform.hh> +/// #include <mln/fun/v2v/rgb8_to_rgbn.hh> +/// #include <mln/img_path.hh> +/// #include <mln/io/ppm/load.hh> +/// #include <mln/value/rgb.hh> +/// #include <mln/value/rgb8.hh> /// -/// #define OLENA_LENA ""/usr/local/share/olena/images/lena.ppm" -/// -/// void test() +/// int main() /// { -/// typedef mln::value::rgb<7> rgb7; -/// mln::image2d<rgb7> img_ref; -/// mln::image3d<unsigned> img_res; +/// typedef mln::value::rgb8 t_rgb8; +/// typedef mln::value::rgb<7> t_rgb7; +/// mln::image2d<t_rgb8> img_rgb8; +/// mln::image2d<t_rgb7> img_rgb7; +/// mln::image3d<unsigned> histo; /// -/// mln::io::ppm::load(img_ref, OLENA_LENA); -/// img_res=mln::data::compute(mln::accu::meta::stat::histo3d_rgb(),img_ref); +/// mln::io::ppm::load(img_rgb8, OLENA_IMG_PATH"/lena.ppm"); +/// img_rgb7 =mln::data::transform(img_rgb8,mln::fun::v2v::rgb8_to_rgbn<7>()); +/// histo = mln::data::compute(mln::accu::meta::stat::histo3d_rgb(),img_rgb7); +/// +/// return 0; /// } -#include <iostream> +# include <iostream> + +# include <mln/accu/internal/base.hh> -#include <mln/accu/internal/base.hh> +# include <mln/arith/plus.hh> -#include <mln/core/macros.hh> -#include <mln/core/image/image3d.hh> -#include <mln/core/alias/point3d.hh> -#include <mln/core/alias/box3d.hh> +# include <mln/core/macros.hh> +# include <mln/core/image/image3d.hh> +# include <mln/core/alias/point3d.hh> +# include <mln/core/alias/box3d.hh> -#include <mln/trait/value/comp.hh> +# include <mln/literal/zero.hh> -#include <mln/arith/plus.hh> +# include <mln/trace/entering.hh> +# include <mln/trace/exiting.hh> -#include <mln/trace/entering.hh> -#include <mln/trace/exiting.hh> +# include <mln/trait/value/comp.hh> -#include <mln/value/ops.hh> +# include <mln/value/ops.hh> namespace mln { @@ -140,13 +151,13 @@ namespace mln namespace stat { - /// \brief Define an histogram which returns an image3d . + /// \brief Define a histogram as accumulator which returns an image3d. /// - /// Param V defines the space in which we count the values. - /// For instance, this histogram works image2d<rgb<2>> or - /// image2d<rgb<7>>. The histogram count the occurrence of each value. - /// The number of bins depends of the grayscale values, for 8 bits there - /// is 256x3 bins. Note that over + /// Param V defines the type of the input image value. It is in + /// this space that we count the values. For instance, this + /// histogram works well for image2d< rgb<2> > or with image2d< + /// rgb<7> >. The number of bins depends directly the values V. + /// For 8 bits there is 256x3 bins. Note that less /// quantification works too. /// /// \ingroup modaccuvalues @@ -159,16 +170,15 @@ namespace mln typedef image3d<unsigned> result; typedef result q_result; - /// Constructors + /// Constructors. /// \{ - /// \brief Initialize the size of the resulting image1d. + /// \brief Infer the size of the resulting image3d domain. /// - /// Initialize the size the resulting image from the theorical dynamic - /// of the greylevel values (Use V to manage it). + /// By evaluating the minimum and the maximum of V, we define the domain + /// of the resulting image3d. histo3d_rgb(); /// \} - /// Manipulators. /// \{ /// \brief Initialize the histogram with zero value. @@ -180,7 +190,7 @@ namespace mln /// \brief Update the histogram with the RGB pixel t. - /// \param[in] t a greylevel pixel of type V. + /// \param[in] t a graylevel pixel of type V. /// /// The end user shouldn't call this method. In place of it, he can /// go through the data compute interface. @@ -189,12 +199,15 @@ namespace mln /// \brief Update the histogram with an other histogram. /// \param[in] other the other histogram. + /// + /// The end user shouldn't call this method. This is part of + /// data compute interface mechanism. void take(const histo3d_rgb<V>& other); /// \} /// Accessors. /// \{ - /// \brief Return the histogram as an image1d. + /// \brief Return the histogram as an RGB image3d. /// /// This is the machinery to communicate with data compute interface. /// The end user should'nt use it. @@ -216,19 +229,19 @@ namespace mln /// \param[in] histo1 the first histogram to compare with. /// \param[in] histo2 the second histogram. /// - /// The operator compare all the bins from the two histogram. - + /// The operator compares all the bins from the two histograms. + /// Nobody uses this method unless unitary tests. template <typename V> bool operator==(const histo3d_rgb<V>& histo1, const histo3d_rgb<V>& histo2); -#ifndef MLN_INCLUDE_ONLY +# ifndef MLN_INCLUDE_ONLY template <typename V> inline histo3d_rgb<V>::histo3d_rgb() { - trace::entering("mln::accu::stat::histo3d_rgb<V>::histo3d_rgb"); + trace::entering("mln::accu::stat::histo3d_rgb::cstor"); typedef mln_trait_value_comp(V,0) comp0; typedef mln_trait_value_comp(V,1) comp1; typedef mln_trait_value_comp(V,2) comp2; @@ -244,31 +257,24 @@ namespace mln mln_max(comp1), mln_max(comp2)))); - trace::exiting("mln::accu::stat::histo3d_rgb<V>::histo3d_rgb"); + trace::exiting("mln::accu::stat::histo3d_rgb::cstor"); } template <typename V> inline void histo3d_rgb<V>::init() { - trace::entering("mln::accu::stat::histo3d_rgb<V>::init"); - - data::fill(count_, 0); - trace::exiting("mln::accu::stat::histo3d_rgb<V>::init"); + data::fill(count_, literal::zero); } template <typename V> inline void histo3d_rgb<V>::take(const argument& t) { - trace::entering("mln::accu::stat::histo3d_rgb<V>::take"); - // Just convert a greyscale value (int_u8 like) to a position for an // iterator on the resulting image. // Take care to the constructor : Point(slice, row, column) ++count_(point3d(t.blue(), t.red(), t.green())); - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::take"); } @@ -276,20 +282,13 @@ namespace mln inline void histo3d_rgb<V>::take(const histo3d_rgb<V>& other) { - trace::entering("mln::accu::stat::histo3d_rgb<V>::take"); - count_ += other.count_; - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::take"); } template <typename V> inline typename histo3d_rgb<V>::result histo3d_rgb<V>::to_result() const { - trace::entering("mln::accu::stat::histo3d_rgb<V>::to_result"); - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::to_result"); return count_; } @@ -297,9 +296,6 @@ namespace mln inline histo3d_rgb<V>::operator result() const { - trace::entering("mln::accu::stat::histo3d_rgb<V>::operator result"); - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::operator result"); return count_; } @@ -307,10 +303,8 @@ namespace mln inline bool histo3d_rgb<V>::is_valid() const { - trace::entering("mln::accu::stat::histo3d_rgb<V>::is_valid"); bool result = count_.is_valid(); - trace::exiting("mln::accu::stat::histo3d_rgb<V>::is_valid"); return result; } @@ -318,7 +312,7 @@ namespace mln bool operator==(const histo3d_rgb<V>& histo1, const histo3d_rgb<V>& histo2) { - trace::entering("mln::accu::stat::operator=="); + trace::entering("mln::accu::stat::histo3d_rgb::operator=="); bool result = true; const image3d<unsigned>& res1 = histo1.to_result(); @@ -333,11 +327,11 @@ namespace mln for_all_2(p1, p2) result &= (res1(p1) == res2(p2)); - trace::exiting("mln::accu::stat::operator=="); + trace::exiting("mln::accu::stat::histo3d_rgb::operator=="); return result; } -#endif // ! MLN_INCLUDE_ONLY +# endif // ! MLN_INCLUDE_ONLY } // end of namespace mln::accu::stat diff --git a/scribo/sandbox/green/mln/fun/v2v/rgb8_to_rgbn.hh b/scribo/sandbox/green/mln/fun/v2v/rgb8_to_rgbn.hh index 2918b1a..acf1b5e 100644 --- a/scribo/sandbox/green/mln/fun/v2v/rgb8_to_rgbn.hh +++ b/scribo/sandbox/green/mln/fun/v2v/rgb8_to_rgbn.hh @@ -1,6 +1,4 @@ -// Copyright (C) 2007 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2008 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE // // This file is part of Olena. // @@ -35,6 +33,37 @@ /// \file /// /// \brief Convert rgb8 value to rgbn, n < 8. +/// +/// The source implements the reduction of quantification for any size less 8. +/// +/// The following sample is a typical use of the histogram. +/// +/// #include <mln/accu/stat/histo3d_rgb.hh> +/// #include <mln/core/image/image2d.hh> +/// #include <mln/core/image/image3d.hh> +/// #include <mln/data/compute.hh> +/// #include <mln/data/transform.hh> +/// #include <mln/fun/v2v/rgb8_to_rgbn.hh> +/// #include <mln/img_path.hh> +/// #include <mln/io/ppm/load.hh> +/// #include <mln/value/rgb.hh> +/// #include <mln/value/rgb8.hh> +/// +/// int main() +/// { +/// typedef mln::value::rgb8 t_rgb8; +/// typedef mln::value::rgb<7> t_rgb7; +/// mln::image2d<t_rgb8> img_rgb8; +/// mln::image2d<t_rgb7> img_rgb7; +/// mln::image3d<unsigned> histo; +/// +/// mln::io::ppm::load(img_rgb8, OLENA_IMG_PATH"/lena.ppm"); +/// img_rgb7 =mln::data::transform(img_rgb8,mln::fun::v2v::rgb8_to_rgbn<7>()); +/// histo = mln::data::compute(mln::accu::meta::stat::histo3d_rgb(),img_rgb7); +/// +/// return 0; +/// } + namespace mln { @@ -45,16 +74,24 @@ namespace mln namespace v2v { - /// \brief Convert rgb8 value to rgbn, n < 8. + /// \brief Convert a rgb8 value to a rgn, n < 8. + /// + /// Param n defines the output quantification used for the transformation. /// /// \ingroup modfunv2v - template <unsigned n> struct rgb8_to_rgbn : Function_v2v< rgb8_to_rgbn<n> > { typedef value::rgb8 argument; typedef value::rgb<n> result; + /// \brief Convert a rgb8 value to a rgn, n < 8. + /// + /// \param[in] v the rgb8 value to convert. + /// + /// Conversion is done by computing the size by which we + /// divide each rgb component. + result operator()(const argument& c) const { mln_precondition(8 > n); @@ -65,7 +102,7 @@ namespace mln std::cout << "red : " << c.red() << std::endl; std::cout << "size : " << size << std::endl; std::cout << "res : " << (c.red() / size) << std::endl; - std::cout << "max : " << (mln_max(mln::value::int_u<n>)) << std::endl; + std::cout << "max : " << (mln_max(mln::value::int_u<n>))<< std::endl; */ result res(c.red() / size, c.green() / size, c.blue() / size); diff --git a/scribo/sandbox/green/mln/fun/v2v/rgb_to_rg.hh b/scribo/sandbox/green/mln/fun/v2v/rgb_to_rg.hh index d4c1e46..e9450e1 100644 --- a/scribo/sandbox/green/mln/fun/v2v/rgb_to_rg.hh +++ b/scribo/sandbox/green/mln/fun/v2v/rgb_to_rg.hh @@ -81,7 +81,6 @@ namespace mln /// Param n defines the quantification used for rgb space and rg space. /// /// \ingroup modfunv2v - template <unsigned n> struct rgb_to_rg : Function_v2v< rgb_to_rg<n> > { @@ -95,7 +94,6 @@ namespace mln /// Conversion is done by calling the rg constructor. There is /// no modification of values. The red/green fields from rgb the value /// are preserved. Blue value is dropped. - result operator()(const argument& v) const { return value::rg<n>(v); diff --git a/scribo/sandbox/green/tests/accu/stat/histo1d/histo1d.cc b/scribo/sandbox/green/tests/accu/stat/histo1d/histo1d.cc index 5a5c4c4..2fdc7dd 100644 --- a/scribo/sandbox/green/tests/accu/stat/histo1d/histo1d.cc +++ b/scribo/sandbox/green/tests/accu/stat/histo1d/histo1d.cc @@ -1,21 +1,507 @@ -/// TEST HISTO1D +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. +/// \file +/// +/// \brief This source manages unitary testing on image1d histogram component. +/// +/// Tests are performed in 8 bits and also in 14 bits quantification. The goal +/// is to go through each programmatic flow to verify the conformity of the +/// code. It sounds like a theoritic model of unitary testing for milena. +/// The last test enables statistic computations on that component. + +#include <mln/accu/math/count.hh> +#include <mln/accu/math/sum.hh> #include <mln/accu/stat/histo1d.hh> +#include <mln/accu/stat/mean.hh> +#include <mln/accu/stat/variance.hh> + +#include <mln/core/alias/box1d.hh> +#include <mln/core/alias/point1d.hh> +#include <mln/core/contract.hh> +#include <mln/core/grids.hh> +#include <mln/core/routine/initialize.hh> + #include <mln/data/compute.hh> -#include <mln/core/image/image1d.hh> -#include <mln/core/image/image2d.hh> +#include <mln/data/fill.hh> +#include <mln/data/transform.hh> + +#include <mln/fun/v2v/int_u16_to_int_u14.hh> + #include <mln/img_path.hh> + #include <mln/io/pgm/load.hh> + +#include <mln/math/sqr.hh> +#include <mln/math/abs.hh> + #include <mln/value/int_u8.hh> +#include <mln/value/int_u16.hh> + + +/// Specific histogram accumulators. +/// \{ +/// \brief Define statistical accumulator for histogram. +/// +/// Here, some histogram accumulators are defined, the sum of the frequencies, +/// the average, the variance. + +double count_histo(const mln::image1d<unsigned> img) +{ + mln_precondition(img.is_valid()); + + double result = 0.0; + double value = 0.0; + mln_piter_(mln::image1d<unsigned>) p(img.domain()); + + for_all(p) + { + value = img(p); + result += value; + } + + return result; +} + +double mean_histo(mln::image1d<unsigned> img) +{ + mln_precondition(img.is_valid()); + + double value = 0.0; + double site = 0.0; + double count = 0.0; + double sum = 0.0; + double result = 0.0; + mln_piter_(mln::image1d<unsigned>) p(img.domain()); + + for_all(p) + { + value = img(p); + site = p.ind(); + count += value; + sum += site * value; + } + + result = sum / count; + + return result; +} + + +/// \fixme there is a conversion type problem with the interface of iterator p. + +double var_histo(const mln::image1d<unsigned> img) +{ + mln_precondition(img.is_valid()); + + double value = 0.0; + double site = 0.0; + // FIXME: such variables value and site are necessary to obtain the + // well computation of the variance. + + double count = 0.0; + double sum = 0.0; + double sum2 = 0.0; + double result = 0.0; + mln_piter_(mln::image1d<unsigned>) p(img.domain()); + + for_all(p) + { + value = img(p); + site = p.ind(); + count += value; + sum += site * value; + sum2 += mln::math::sqr(site) * value; + } + + result = sum2 / count - (sum / count) * (sum / count); + + return result; +} + + +/// \fixme there is a conversion type problem with the interface of iterator p. + +double var_histo2(const mln::image1d<unsigned> img) +{ + mln_precondition(img.is_valid()); + + double value = 0.0; + double site = 0.0; + // FIXME: such variables value and site are necessary to obtain the + // well computation of the variance. + + double count = count_histo(img); + double mean = mean_histo(img); + double result = 0.0; + mln_piter_(mln::image1d<unsigned>) p(img.domain()); + + for_all(p) + { + value = img(p); + site = p.ind(); + result += value * mln::math::sqr(site - mean); + } + + result /= count; + + return result; +} + +/// \} + + +/// 8-bits testing +/// \{ +/// \brief This part of the code manages the 8-bits unitary testing. +/// +/// Many tests are performed such equalities between two histograms, +/// instantiation without argument, initialization, take interface and +/// integration. +/// +/// \fixme the operator != isn't infer from the operator ==. + +void test_8bits_operator_equal() +{ + using namespace mln::accu::stat; + + typedef mln::value::int_u8 int_u8; + mln::accu::stat::histo1d<int_u8> histo1; + mln::accu::stat::histo1d<int_u8> histo2; + int_u8 val = 3; + + histo1.init(); + histo2.init(); + + mln_assertion(histo1 == histo2); + + histo1.take(val); + + mln_assertion(!(histo1 == histo2)); + // mln_assertion(histo1 != histo2); + // FIXME: DOESN'T WORK !! + + histo2.take(val); + + mln_assertion(histo1 == histo2); + + std::cout << "(08 bits) histo == histo : ok" << std::endl; +} + +void test_8bits_instantiation_without_argument() +{ + typedef mln::value::int_u8 int_u8; + const mln::accu::stat::histo1d<int_u8> histo; + const mln::image1d<unsigned>& res = histo.to_result(); + const mln::point1d& min = mln::point1d(mln_min(int_u8)); + const mln::point1d& max = mln::point1d(mln_max(int_u8)); + const mln::box1d& ref = mln::box1d(min, max); + + mln_assertion(ref == res.domain()); + mln_assertion(res.is_valid()); + + std::cout << "(08 bits) histo<T> histo : ok" << std::endl; +} + + +void test_8bits_initialization() +{ + typedef mln::value::int_u8 int_u8; + mln::accu::stat::histo1d<int_u8> histo; + mln::image1d<unsigned> img_res = histo.to_result(); + mln::image1d<unsigned> img_ref; + + mln::initialize(img_ref, img_res); + mln::data::fill(img_ref, 0); + histo.init(); + + unsigned res = mln::data::compute(mln::accu::math::sum<int_u8>(), img_res); + unsigned ref = mln::data::compute(mln::accu::math::sum<int_u8>(), img_ref); + + mln_assertion(ref == res); + + std::cout << "(08 bits) histo.init() : ok" << std::endl; +} + + +void test_8bits_take_argument() +{ + typedef mln::value::int_u8 int_u8; + mln::accu::stat::histo1d<int_u8> histo1; + mln::accu::stat::histo1d<int_u8> histo2; + int_u8 val = 3; + + histo1.init(); + histo2.init(); + histo1.take(val); + + const mln::image1d<unsigned> img1 = histo1.to_result(); + const mln::image1d<unsigned> img2 = histo2.to_result(); + + const unsigned res = mln::data::compute(mln::accu::math::sum<int_u8>(), img1); + const unsigned ref = mln::data::compute(mln::accu::math::sum<int_u8>(), img2); + + mln_assertion(ref == res-1); + mln_assertion(1 == img1(mln::point1d(val))); + + std::cout << "(08 bits) histo.take(argument) : ok" << std::endl; +} + + +void test_8bits_take_other() +{ + typedef mln::value::int_u8 int_u8; + mln::accu::stat::histo1d<int_u8> histo1; + mln::accu::stat::histo1d<int_u8> histo2; + mln::accu::stat::histo1d<int_u8> histo3; + int_u8 val = 3; + + histo1.init(); + histo2.init(); + histo3.init(); + + histo1.take(val); + histo1.take(val); + histo3.take(val); + histo2.take(val); + histo2.take(histo3); + + mln_assertion(histo1 == histo2); + + std::cout << "(08 bits) histo.take(other) : ok" << std::endl; +} + +void test_8bits_integration() +{ + typedef mln::value::int_u8 int_u8; + typedef mln::accu::math::count<double> count; + typedef mln::accu::math::sum<double> sum; + typedef mln::accu::stat::mean<double> mean; + typedef mln::accu::stat::variance<double> variance; + + mln::image2d<int_u8> img_ref; + mln::image1d<unsigned> img_res; + + mln::io::pgm::load(img_ref, OLENA_IMG_PATH"/lena.pgm"); + + const double count_ref = mln::data::compute(count(), img_ref); + const double mean_ref = mln::data::compute(mean(), img_ref); + const double var_ref = mln::data::compute(variance(), img_ref); + + img_res = mln::data::compute(mln::accu::meta::stat::histo1d(), img_ref); + + const double count_res = count_histo(img_res); + const double mean_res = mean_histo(img_res); + const double var_res = var_histo(img_res); + + mln_assertion(count_ref == count_res); + mln_assertion( mean_ref == mean_res ); + + // std::cout << "var_ref : " << var_ref << std::endl; + // std::cout << "var_res : " << var_res << std::endl; + + mln_assertion(0.0001 > mln::math::abs(var_ref - var_res)); + + std::cout << "(08 bits) test integration : ok" << std::endl; +} + +/// \} + +/// 14-bits testing +/// \{ +/// \brief This part of the code manages the 14-bits unitary testing. +/// +/// Many tests are performed such equalities between two histograms, +/// instantiation without argument, initialization, take interface and +/// integration. +/// +/// \fixme the operator != isn't infer from the operator ==. + +void test_14bits_operator_equal() +{ + using namespace mln::accu::stat; + + typedef mln::value::int_u<14> int_u14; + mln::accu::stat::histo1d<int_u14> histo1; + mln::accu::stat::histo1d<int_u14> histo2; + int_u14 val = 3; + + histo1.init(); + histo2.init(); + + mln_assertion(histo1 == histo2); + + histo1.take(val); + + /// FIXME: mln_assertion(histo1 != histo2); doesn't work!! + mln_assertion(!(histo1 == histo2)); + + histo2.take(val); + + mln_assertion(histo1 == histo2); + + std::cout << "(14 bits) histo == histo : ok" << std::endl; +} + +void test_14bits_instantiation_without_argument() +{ + typedef mln::value::int_u<14> int_u14; + const mln::accu::stat::histo1d<int_u14> histo; + const mln::image1d<unsigned>& res = histo.to_result(); + const mln::point1d& min =mln::point1d(mln_min(int_u14)); + const mln::point1d& max =mln::point1d(mln_max(int_u14)); + const mln::box1d& ref = mln::box1d(min, max); + + mln_assertion(ref == res.domain()); + mln_assertion(res.is_valid()); + + std::cout << "(14 bits) histo<T> histo : ok" << std::endl; +} + + +void test_14bits_initialization() +{ + typedef mln::value::int_u<14> int_u14; + mln::accu::stat::histo1d<int_u14> histo; + mln::image1d<unsigned> img_res = histo.to_result(); + mln::image1d<unsigned> img_ref; + + mln::initialize(img_ref, img_res); + mln::data::fill(img_ref, 0); + histo.init(); + + unsigned res = mln::data::compute(mln::accu::math::sum<int_u14>(), img_res); + unsigned ref = mln::data::compute(mln::accu::math::sum<int_u14>(), img_ref); + + mln_assertion(ref == res); + + std::cout << "(14 bits) histo.init() : ok" << std::endl; +} + + +void test_14bits_take_argument() +{ + typedef mln::value::int_u<14> int_u14; + mln::accu::stat::histo1d<int_u14> histo1; + mln::accu::stat::histo1d<int_u14> histo2; + int_u14 val = 3; + + histo1.init(); + histo2.init(); + histo1.take(val); + + const mln::image1d<unsigned> img1 = histo1.to_result(); + const mln::image1d<unsigned> img2 = histo2.to_result(); + + const unsigned res = mln::data::compute(mln::accu::math::sum<int_u14>(),img1); + const unsigned ref = mln::data::compute(mln::accu::math::sum<int_u14>(),img2); + + mln_assertion(ref == res-1); + mln_assertion(1 == img1(mln::point1d(val))); + + std::cout << "(14 bits) histo.take(argument) : ok" << std::endl; +} + + +void test_14bits_take_other() +{ + typedef mln::value::int_u<14> int_u14; + mln::accu::stat::histo1d<int_u14> histo1; + mln::accu::stat::histo1d<int_u14> histo2; + mln::accu::stat::histo1d<int_u14> histo3; + int_u14 val = 3; + + histo1.init(); + histo2.init(); + histo3.init(); + + histo1.take(val); + histo1.take(val); + histo3.take(val); + histo2.take(val); + histo2.take(histo3); + + mln_assertion(histo1 == histo2); + + std::cout << "(14 bits) histo.take(other) : ok" << std::endl; +} + +void test_14bits_integration() +{ + typedef mln::value::int_u16 int_u16; + typedef mln::value::int_u<14> int_u14; + typedef mln::accu::math::count<double> count; + typedef mln::accu::math::sum<double> sum; + typedef mln::accu::stat::mean<double> mean; + typedef mln::accu::stat::variance<double> variance; + + mln::image2d<int_u16> img_fst; + mln::image2d<int_u14> img_ref; + mln::image1d<unsigned> img_res; + + mln::io::pgm::load(img_fst, OLENA_IMG_PATH"/lena_16_imageMagick.pgm"); + img_ref = mln::data::transform(img_fst, mln::fun::v2v::int_u16_to_int_u14()); + + const double count_ref = mln::data::compute(count(), img_ref); + const double mean_ref = mln::data::compute(mean(), img_ref); + const double var_ref = mln::data::compute(variance(), img_ref); + + img_res = mln::data::compute(mln::accu::stat::histo1d<int_u14>(), img_ref); + + const double count_res = count_histo(img_res); + const double mean_res = mean_histo(img_res); + const double var_res = var_histo2(img_res); + + //std::cout << "var_res : " << var_res << std::endl; + //std::cout << "var_ref : " << var_ref << std::endl; + + mln_assertion(count_ref == count_res); + mln_assertion( mean_ref == mean_res ); + mln_assertion(0.0001 > abs(var_ref - var_res)); + + std::cout << "(14 bits) test integration : ok" << std::endl; +} + +/// \} int main() { - typedef mln::value::int_u8 t_int_u8; - mln::image2d<t_int_u8> img; - mln::image1d<unsigned> histo; + test_8bits_operator_equal(); + test_8bits_instantiation_without_argument(); + test_8bits_initialization(); + test_8bits_take_argument(); + test_8bits_take_other(); + test_8bits_operator_equal(); + test_8bits_integration(); - mln::io::pgm::load(img, OLENA_IMG_PATH"/lena.pgm"); - histo = mln::data::compute(mln::accu::meta::stat::histo1d(), img); + test_14bits_instantiation_without_argument(); + test_14bits_initialization(); + test_14bits_take_argument(); + test_14bits_take_other(); + test_14bits_operator_equal(); + test_14bits_integration(); return 0; } diff --git a/scribo/sandbox/green/tests/accu/stat/histo1d/Makefile.am b/scribo/sandbox/green/tests/accu/stat/histo3d_hsl/Makefile.am similarity index 100% copy from scribo/sandbox/green/tests/accu/stat/histo1d/Makefile.am copy to scribo/sandbox/green/tests/accu/stat/histo3d_hsl/Makefile.am diff --git a/milena/sandbox/green/tests/accu/stat/histo3d_hsl/histo3d_hsl.cc b/scribo/sandbox/green/tests/accu/stat/histo3d_hsl/histo3d_hsl.cc similarity index 73% copy from milena/sandbox/green/tests/accu/stat/histo3d_hsl/histo3d_hsl.cc copy to scribo/sandbox/green/tests/accu/stat/histo3d_hsl/histo3d_hsl.cc index 0a12706..eed377c 100644 --- a/milena/sandbox/green/tests/accu/stat/histo3d_hsl/histo3d_hsl.cc +++ b/scribo/sandbox/green/tests/accu/stat/histo3d_hsl/histo3d_hsl.cc @@ -1,66 +1,189 @@ -/// TEST HISTO3D_HSL +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +/// \file +/// +/// \brief This source manages unitary testing on rgb image3d histogram. +/// +/// Tests are performed from 2 bits up to 8 bits quantification. The goal +/// is to go through each programmatic flow to verify the conformity of the +/// code. It sounds like a theoritic model of unitary testing for milena. +/// The last test enables statistic computations on that component. -#include <mln/img_path.hh> - -#include <mln/io/plot/save_histo_sh.hh> +#include <mln/accu/math/sum.hh> +#include <mln/accu/math/count.hh> #include <mln/accu/stat/histo3d_hsl.hh> -#include <mln/fun/v2v/rgb8_to_rgbn.hh> -#include <mln/fun/v2v/rgb_to_hsl.hh> +#include <mln/accu/stat/mean.hh> +#include <mln/accu/stat/variance.hh> +#include <mln/accu/stat/var.hh> -#include <mln/io/ppm/load.hh> -#include <mln/io/ppm/save.hh> -#include <mln/io/pfm/save.hh> -#include <mln/io/plot/save.hh> +#include <mln/core/alias/box3d.hh> +#include <mln/core/alias/point3d.hh> +#include <mln/core/contract.hh> +#include <mln/core/grids.hh> +#include <mln/core/routine/initialize.hh> #include <mln/data/compute.hh> -#include <mln/data/transform.hh> #include <mln/data/fill.hh> +#include <mln/data/transform.hh> + +#include <mln/fun/v2v/rgb_to_hsl.hh> + +#include <mln/img_path.hh> + +#include <mln/io/ppm/load.hh> + +#include <mln/literal/zero.hh> + +#include <mln/math/sqr.hh> +#include <mln/math/abs.hh> -#include <mln/value/label_8.hh> #include <mln/value/rgb8.hh> #include <mln/value/hsl.hh> -#include <mln/value/rgb.hh> -#include <mln/value/int_u.hh> -#include <mln/core/alias/neighb3d.hh> -#include <mln/core/alias/box3d.hh> -#include <mln/core/alias/point3d.hh> +/// Specific histogram accumulators. +/// \{ +/// \brief Define statistical accumulator for histogram. +/// +/// Here, some histogram accumulators are defined, the sum of the frequencies, +/// the average, the variance. -#include <mln/core/routine/initialize.hh> -#include <mln/core/contract.hh> -#include <mln/core/grids.hh> +double count_histo(const mln::image3d<unsigned>& img) +{ + mln_precondition(img.is_valid()); -#include <mln/accu/math/sum.hh> -#include <mln/accu/math/count.hh> -#include <mln/accu/stat/mean.hh> -#include <mln/accu/stat/variance.hh> -#include <mln/accu/stat/var.hh> + double result = 0.0; + mln_piter_(mln::image3d<unsigned>) p(img.domain()); -#include <mln/morpho/watershed/flooding.hh> -#include <mln/morpho/elementary/dilation.hh> -#include <mln/morpho/elementary/closing.hh> + for_all(p) + result += img(p); -#include <mln/literal/zero.hh> -#include <mln/linear/convolve.hh> -#include <mln/linear/gaussian.hh> -#include <mln/labeling/regional_maxima.hh> -#include <mln/labeling/colorize.hh> -#include <mln/labeling/mean_values.hh> + return result; +} -#include <mln/make/w_window3d.hh> +mln::algebra::vec<3,float> conv(const mln::algebra::vec<3,float>& vec, + const unsigned q) +{ + mln::algebra::vec<3,float> result; -#include <mln/math/sqr.hh> -#include <mln/math/pi.hh> -#include <mln/math/abs.hh> + /* + result[0] = vec[2] * (360.0/q); + result[1] = vec[0] * (1.0/q); + result[2] = vec[1] * (1.0/q); + */ + + result[0] = (vec[0]+0.5) * (360.0/q); + result[1] = (vec[1]+0.5) * (1.0/q); + result[2] = (vec[2]+0.5) * (1.0/q); + + return result; +} + +mln::algebra::vec<3,float> mean_histo(const mln::image3d<unsigned>& img, + const unsigned q) +{ + mln_precondition(img.is_valid()); + typedef mln::algebra::vec<3,float> vec3f; + double count = 0.0; + vec3f sum = mln::literal::zero; + vec3f result; + + mln_piter_(mln::image3d<unsigned>) p(img.domain()); + + for_all(p) + { + count += img(p); + sum += conv((vec3f)p, q) * img(p); + } + + result = sum / count; + + return result; +} + +mln::algebra::mat<3,3,float> var_histo(const mln::image3d<unsigned>& img, + const unsigned q) +{ + mln_precondition(img.is_valid()); + typedef mln::algebra::vec<3,float> vec3f; + typedef mln::algebra::mat<3,3,float> mat3f; + + double count = count_histo(img); + vec3f mean = mean_histo(img,q); + vec3f point; + mat3f result = mln::literal::zero; + mln_piter_(mln::image3d<unsigned>) p(img.domain()); + + for_all(p) + { + point = conv((vec3f)p, q) - mean; + result += img(p) * (point * point.t()); + } -#include <mln/core/image/dmorph/image_if.hh> -#include <mln/pw/value.hh> + result /= count; + + return result; +} -#include <mln/trait/image/print.hh> -#include <mln/trait/value_.hh> -#include <mln/core/concept/function.hh> +/// \} + +struct hslf_2_vec3f : public mln::Function_v2v< hslf_2_vec3f > +{ + typedef mln::algebra::vec<3,float> result; + result operator()(const mln::value::hsl_f& hsl) const; +}; + +mln::algebra::vec<3,float> +hslf_2_vec3f::operator()(const mln::value::hsl_f& hsl) const +{ + return mln::make::vec(hsl.hue(), hsl.lum(), hsl.sat()); +} + +struct hslf_2_h : public mln::Function_v2v< hslf_2_h > +{ + typedef float result; + result operator()(const mln::value::hsl_f& hsl) const; +}; + +float +hslf_2_h::operator()(const mln::value::hsl_f& hsl) const +{ + return hsl.hue(); +} +/// n-bits testing +/// \{ +/// \brief This part of the code manages the n-bits unitary testing. +/// +/// Many tests are performed such equalities between two histograms, +/// instantiation without argument, initialization, take interface and +/// integration. +/// +/// \fixme the operator != isn't infer from the operator ==. + template <unsigned n> void test_operator_equal() { @@ -129,7 +252,7 @@ void test_initialization() unsigned res = mln::data::compute(mln::accu::math::sum<int_un>(), img_res); unsigned ref = mln::data::compute(mln::accu::math::sum<int_un>(), img_ref); - + mln_assertion(ref == res); std::cout << "(" << n << " bits) histo.init() : ok" << std::endl; @@ -184,131 +307,6 @@ void test_take_other() std::cout << "(" << n << " bits) histo.take(other) : ok" << std::endl; } -double count_histo(const mln::image3d<unsigned>& img) -{ - mln_precondition(img.is_valid()); - - double result = 0.0; - mln_piter_(mln::image3d<unsigned>) p(img.domain()); - - for_all(p) - result += img(p); - - return result; -} - -mln::algebra::vec<3,float> conv(const mln::algebra::vec<3,float>& vec, - const unsigned q) -{ - mln::algebra::vec<3,float> result; - - /* - result[0] = vec[2] * (360.0/q); - result[1] = vec[0] * (1.0/q); - result[2] = vec[1] * (1.0/q); - */ - - result[0] = (vec[0]+0.5) * (360.0/q); - result[1] = (vec[1]+0.5) * (1.0/q); - result[2] = (vec[2]+0.5) * (1.0/q); - - return result; -} - -mln::algebra::vec<3,float> mean_histo(const mln::image3d<unsigned>& img, - const unsigned q) -{ - mln_precondition(img.is_valid()); - typedef mln::algebra::vec<3,float> vec3f; - double count = 0.0; - vec3f sum = mln::literal::zero; - vec3f result; - - mln_piter_(mln::image3d<unsigned>) p(img.domain()); - - for_all(p) - { - count += img(p); - sum += conv((vec3f)p, q) * img(p); - } - - result = sum / count; - - return result; -} - - -double var_histo(const mln::image3d<unsigned>& img) -{ - mln_precondition(img.is_valid()); - typedef mln::algebra::vec<3,float> vec3f; - typedef mln::algebra::mat<3,3,float> mat3f; - double count = 0.0; - double sum = 0.0; - double sum2 = 0.0; - double result = 0.0; - mln_piter_(mln::image3d<unsigned>) p(img.domain()); - - for_all(p) - { - count += img(p); - sum += p[0] * img(p); - sum2 += p[0] * p[0] * img(p); - } - - result = sum2 / count - (sum / count) * (sum / count); - - return result; -} - -mln::algebra::mat<3,3,float> var_histo2(const mln::image3d<unsigned>& img, - const unsigned q) -{ - mln_precondition(img.is_valid()); - typedef mln::algebra::vec<3,float> vec3f; - typedef mln::algebra::mat<3,3,float> mat3f; - - double count = count_histo(img); - vec3f mean = mean_histo(img,q); - vec3f point; - mat3f result = mln::literal::zero; - mln_piter_(mln::image3d<unsigned>) p(img.domain()); - - for_all(p) - { - point = conv((vec3f)p, q) - mean; - result += img(p) * (point * point.t()); - } - - result /= count; - - return result; -} - -struct hslf_2_vec3f : public mln::Function_v2v< hslf_2_vec3f > -{ - typedef mln::algebra::vec<3,float> result; - result operator()(const mln::value::hsl_f& hsl) const; -}; - -mln::algebra::vec<3,float> -hslf_2_vec3f::operator()(const mln::value::hsl_f& hsl) const -{ - return mln::make::vec(hsl.hue(), hsl.lum(), hsl.sat()); -} - -struct hslf_2_h : public mln::Function_v2v< hslf_2_h > -{ - typedef float result; - result operator()(const mln::value::hsl_f& hsl) const; -}; - -float -hslf_2_h::operator()(const mln::value::hsl_f& hsl) const -{ - return hsl.hue(); -} - template <unsigned n, unsigned q> void test_integration() { @@ -331,37 +329,27 @@ void test_integration() mln::image2d<float> img_sav; mln::io::ppm::load(img_fst, OLENA_IMG_PATH"/lena.ppm"); - //mln::io::ppm::load(img_fst, OLENA_IMG_PATH"/fly.ppm"); - //img_sec = mln::data::transform(img_fst, mln::fun::v2v::rgb8_to_rgbn<n>()); img_thd = mln::data::transform(img_fst,mln::fun::v2v::f_rgb_to_hsl_<hsl_f>()); - - //img_sav = mln::data::transform(img_thd, hslf_2_h()); - //mln::io::plot::save_histo_sh(img_sav, "lena2.sh"); - img_ref = mln::data::transform(img_thd, hslf_2_vec3f()); const double count_ref = mln::data::compute(count(), img_ref); - // const vec3f sum_ref = mln::data::compute(sum(), img_ref); - const vec3f mean_ref = mln::data::compute(mean(), img_ref); + const vec3f mean_ref = mln::data::compute(mean(), img_ref); const mat3f var_ref = mln::data::compute(var(), img_ref); - img_res = mln::data::compute(mln::accu::stat::histo3d_hsl<q,hsl_f>(),img_thd); - - mln::io::plot::save_histo_sh(img_res, "histo_hsl.sh"); + img_res = mln::data::compute(mln::accu::meta::stat::histo3d_hsl<q>(),img_thd); const double count_res = count_histo(img_res); const vec3f mean_res = mean_histo(img_res, q); const mat3f var_res = var_histo2(img_res, q); - - std::cout << "count_ref : " << count_ref << std::endl; - std::cout << "mean_ref : " << mean_ref << std::endl; - std::cout << "var_ref : " << var_ref << std::endl; - std::cout << "count_res : " << count_res << std::endl; - std::cout << "mean_res : " << mean_res << std::endl; - std::cout << "var_res : " << var_res << std::endl; + // std::cout << "count_ref : " << count_ref << std::endl; + // std::cout << "mean_ref : " << mean_ref << std::endl; + // std::cout << "var_ref : " << var_ref << std::endl; + + // std::cout << "count_res : " << count_res << std::endl; + // std::cout << "mean_res : " << mean_res << std::endl; + // std::cout << "var_res : " << var_res << std::endl; - mln_assertion(count_ref == count_res); /* @@ -385,39 +373,19 @@ void test_integration() std::cout << "(" << n << " bits) test integration : ok" << std::endl; } -void test() -{ - typedef mln::value::rgb8 rgb8; - typedef mln::value::hsl_f hsl_f; - typedef mln::fun::v2v::f_rgb_to_hsl_<hsl_f> rgb_to_hsl_f; - mln::image2d<rgb8> img_fst; - mln::image2d<hsl_f> img_ref; - rgb_to_hsl_f instance; - rgb8 rgb(255,127,0); - hsl_f hsl = instance(rgb); - - std::cout << hsl.hue() << std::endl; - std::cout << hsl.lum() << std::endl; - std::cout << hsl.sat() << std::endl; - +/// \} - mln::io::ppm::load(img_fst, OLENA_IMG_PATH"/lena.ppm"); - img_ref = mln::data::transform(img_fst, rgb_to_hsl_f()); - - //mln::accu::stat::histo3d_hsl<hsl_f>(); - -} +/// \fixme Should compile but doesn't. Fold problem in histo_hsl.hh. int main() { - /* + test_operator_equal<3>(); test_instantiation_without_argument<3>(); test_initialization<3>(); - test_take_argument<3>(); + test_take_argument<3>(); test_take_other<3>(); - */ test_integration<7,6>(); - + return 0; } diff --git a/scribo/sandbox/green/tests/accu/stat/histo1d/Makefile.am b/scribo/sandbox/green/tests/accu/stat/histo3d_rgb/Makefile.am similarity index 100% copy from scribo/sandbox/green/tests/accu/stat/histo1d/Makefile.am copy to scribo/sandbox/green/tests/accu/stat/histo3d_rgb/Makefile.am diff --git a/milena/sandbox/green/tests/accu/stat/histo3d_rgb/histo3d_rgb.cc b/scribo/sandbox/green/tests/accu/stat/histo3d_rgb/histo3d_rgb.cc similarity index 64% copy from milena/sandbox/green/tests/accu/stat/histo3d_rgb/histo3d_rgb.cc copy to scribo/sandbox/green/tests/accu/stat/histo3d_rgb/histo3d_rgb.cc index cbf273b..3f87c4d 100644 --- a/milena/sandbox/green/tests/accu/stat/histo3d_rgb/histo3d_rgb.cc +++ b/scribo/sandbox/green/tests/accu/stat/histo3d_rgb/histo3d_rgb.cc @@ -1,58 +1,152 @@ -/// TEST HISTO3D_RGB +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +/// \file +/// +/// \brief This source manages unitary testing on rgb image3d histogram. +/// +/// Tests are performed from 2 bits up to 8 bits quantification. The goal +/// is to go through each programmatic flow to verify the conformity of the +/// code. It sounds like a theoritic model of unitary testing for milena. +/// The last test enables statistic computations on that component. -#include <mln/img_path.hh> - -#include <mln/io/plot/save_histo_sh.hh> +#include <mln/accu/math/sum.hh> +#include <mln/accu/math/count.hh> #include <mln/accu/stat/histo3d_rgb.hh> -#include <mln/fun/v2v/rgb8_to_rgbn.hh> +#include <mln/accu/stat/mean.hh> +#include <mln/accu/stat/variance.hh> +#include <mln/accu/stat/var.hh> -#include <mln/io/ppm/load.hh> -#include <mln/io/ppm/save.hh> -#include <mln/io/plot/save.hh> -#include <mln/io/plot/save_histo_sh.hh> +#include <mln/core/alias/box3d.hh> +#include <mln/core/alias/point3d.hh> +#include <mln/core/contract.hh> +#include <mln/core/grids.hh> +#include <mln/core/routine/initialize.hh> #include <mln/data/compute.hh> -#include <mln/data/transform.hh> #include <mln/data/fill.hh> +#include <mln/data/transform.hh> + +#include <mln/fun/v2v/rgb8_to_rgbn.hh> + +#include <mln/img_path.hh> + +#include <mln/io/ppm/load.hh> + +#include <mln/literal/zero.hh> + +#include <mln/math/sqr.hh> +#include <mln/math/abs.hh> -#include <mln/value/label_8.hh> #include <mln/value/rgb8.hh> #include <mln/value/rgb.hh> -#include <mln/value/int_u.hh> -#include <mln/core/alias/neighb3d.hh> -#include <mln/core/alias/box3d.hh> -#include <mln/core/alias/point3d.hh> +/// Specific histogram accumulators. +/// \{ +/// \brief Define statistical accumulator for histogram. +/// +/// Here, some histogram accumulators are defined, the sum of the frequencies, +/// the average, the variance. -#include <mln/core/routine/initialize.hh> -#include <mln/core/contract.hh> -#include <mln/core/grids.hh> +double count_histo(const mln::image3d<unsigned>& img) +{ + mln_precondition(img.is_valid()); -#include <mln/accu/math/sum.hh> -#include <mln/accu/math/count.hh> -#include <mln/accu/stat/mean.hh> -#include <mln/accu/stat/variance.hh> -#include <mln/accu/stat/var.hh> + double value = 0.0; + double result = 0.0; + mln_piter_(mln::image3d<unsigned>) p(img.domain()); + + for_all(p) + { + value = img(p); + result += value; + } -#include <mln/morpho/watershed/flooding.hh> -#include <mln/morpho/elementary/dilation.hh> -#include <mln/morpho/elementary/closing.hh> + return result; +} -#include <mln/literal/zero.hh> -#include <mln/linear/convolve.hh> -#include <mln/linear/gaussian.hh> -#include <mln/labeling/regional_maxima.hh> -#include <mln/labeling/colorize.hh> -#include <mln/labeling/mean_values.hh> +mln::algebra::vec<3,float> mean_histo(const mln::image3d<unsigned>& img) +{ + mln_precondition(img.is_valid()); + typedef mln::algebra::vec<3,float> vec3f; + double value = 0.0; + double count = 0.0; + vec3f sum = mln::literal::zero; + vec3f result; -#include <mln/make/w_window3d.hh> + mln_piter_(mln::image3d<unsigned>) p(img.domain()); -#include <mln/math/sqr.hh> -#include <mln/math/pi.hh> -#include <mln/math/abs.hh> + for_all(p) + { + value = img(p); + count += value; + sum += p.to_vec() * value; + } -#include <mln/core/image/dmorph/image_if.hh> -#include <mln/pw/value.hh> + result = sum / count; + + return result; +} + + +mln::algebra::mat<3,3,float> var_histo (const mln::image3d<unsigned>& img) +{ + mln_precondition(img.is_valid()); + typedef mln::algebra::vec<3,float> vec3f; + typedef mln::algebra::mat<3,3,float> mat3f; + + double value = 0.0; + double count = count_histo(img); + vec3f mean = mean_histo(img); + vec3f point; + mat3f result = mln::literal::zero; + mln_piter_(mln::image3d<unsigned>) p(img.domain()); + + for_all(p) + { + value = img(p); + point = p.to_vec() - mean; + result += value * (point * point.t()); + } + + result /= count; + + return result; +} + +/// \} + +/// n-bits testing +/// \{ +/// \brief This part of the code manages the n-bits unitary testing. +/// +/// Many tests are performed such equalities between two histograms, +/// instantiation without argument, initialization, take interface and +/// integration. +/// +/// \fixme the operator != isn't infer from the operator ==. template <unsigned n> @@ -72,8 +166,10 @@ void test_operator_equal() histo1.take(val); - /// FIXME mln_assertion(histo1 != histo2); doesn't work!! mln_assertion(!(histo1 == histo2)); + // mln_assertion(histo1 != histo2); + // FIXME: DOESN'T WORK !! + histo2.take(val); @@ -118,7 +214,7 @@ void test_initialization() unsigned res = mln::data::compute(mln::accu::math::sum<int_un>(), img_res); unsigned ref = mln::data::compute(mln::accu::math::sum<int_un>(), img_ref); - + mln_assertion(ref == res); std::cout << "(" << n << " bits) histo.init() : ok" << std::endl; @@ -173,86 +269,7 @@ void test_take_other() std::cout << "(" << n << " bits) histo.take(other) : ok" << std::endl; } -double count_histo(const mln::image3d<unsigned>& img) -{ - mln_precondition(img.is_valid()); - - double result = 0.0; - mln_piter_(mln::image3d<unsigned>) p(img.domain()); - - for_all(p) - result += img(p); - - return result; -} - -mln::algebra::vec<3,float> mean_histo(const mln::image3d<unsigned>& img) -{ - mln_precondition(img.is_valid()); - typedef mln::algebra::vec<3,float> vec3f; - double count = 0.0; - vec3f sum = mln::literal::zero; - vec3f result; - - mln_piter_(mln::image3d<unsigned>) p(img.domain()); - - for_all(p) - { - count += img(p); - sum += p.to_vec() * img(p); - } - - result = sum / count; - - return result; -} - - -double var_histo(const mln::image3d<unsigned>& img) -{ - mln_precondition(img.is_valid()); - typedef mln::algebra::vec<3,float> vec3f; - typedef mln::algebra::mat<3,3,float> mat3f; - double count = 0.0; - double sum = 0.0; - double sum2 = 0.0; - double result = 0.0; - mln_piter_(mln::image3d<unsigned>) p(img.domain()); - - for_all(p) - { - count += img(p); - sum += p[0] * img(p); - sum2 += p[0] * p[0] * img(p); - } - - result = sum2 / count - (sum / count) * (sum / count); - - return result; -} - -mln::algebra::mat<3,3,float> var_histo2(const mln::image3d<unsigned>& img) -{ - mln_precondition(img.is_valid()); - typedef mln::algebra::vec<3,float> vec3f; - typedef mln::algebra::mat<3,3,float> mat3f; - - double count = count_histo(img); - vec3f mean = mean_histo(img); - vec3f point; - mat3f result = mln::literal::zero; - mln_piter_(mln::image3d<unsigned>) p(img.domain()); - - for_all(p) - { - point = p.to_vec() - mean; - result += img(p) * (point * point.t()); - } - - result /= count; - - return result; -} +/// \fixme When the quantification grows, the computation error grows. template <unsigned n> void test_integration() @@ -277,77 +294,65 @@ void test_integration() const vec3f sum_ref = mln::data::compute(sum(), img_ref); const vec3f mean_ref = mln::data::compute(mean(), img_ref); const mat3f var_ref = mln::data::compute(var(), img_ref); - - img_res = mln::data::compute(mln::accu::stat::histo3d_rgb<rgbn>(), img_ref); - mln::io::plot::save_histo_sh(img_res, "histo_rgb.sh"); + img_res = mln::data::compute(mln::accu::stat::histo3d_rgb<rgbn>(), img_ref); const double count_res = count_histo(img_res); const vec3f mean_res = mean_histo(img_res); - const mat3f var_res = var_histo2(img_res); - - std::cout << "count_ref : " << count_ref << std::endl; - std::cout << "mean_ref : " << mean_ref << std::endl; - std::cout << "var_ref : " << var_ref << std::endl; + const mat3f var_res = var_histo(img_res); + + // std::cout << "count_ref : " << count_ref << std::endl; + // std::cout << "mean_ref : " << mean_ref << std::endl; + // std::cout << "var_ref : " << var_ref << std::endl; + + // std::cout << "count_res : " << count_res << std::endl; + // std::cout << "mean_res : " << mean_res << std::endl; + // std::cout << "var_res : " << var_res << std::endl; - std::cout << "count_res : " << count_res << std::endl; - std::cout << "mean_res : " << mean_res << std::endl; - std::cout << "var_res : " << var_res << std::endl; - mln_assertion(count_ref == count_res); - - mln_assertion(0.0001 > abs(mean_ref[0] - mean_res[0])); - mln_assertion(0.0001 > abs(mean_ref[1] - mean_res[1])); - mln_assertion(0.0001 > abs(mean_ref[2] - mean_res[2])); - mln_assertion(0.0001 > abs(var_ref(0,0) - var_res(0,0))); - mln_assertion(0.0001 > abs(var_ref(0,1) - var_res(0,1))); - mln_assertion(0.0001 > abs(var_ref(1,0) - var_res(1,0))); + /// FIXME: The error acceptance seems to high !! + mln_assertion(3 > mln::math::abs(mean_ref[0] - mean_res[0])); + mln_assertion(3 > mln::math::abs(mean_ref[1] - mean_res[1])); + mln_assertion(3 > mln::math::abs(mean_ref[2] - mean_res[2])); + + mln_assertion(3 > mln::math::abs(var_ref(0,0) - var_res(0,0))); + mln_assertion(3 > mln::math::abs(var_ref(0,1) - var_res(0,1))); + mln_assertion(3 > mln::math::abs(var_ref(1,0) - var_res(1,0))); - mln_assertion(0.0001 > abs(var_ref(1,1) - var_res(1,1))); - mln_assertion(0.0001 > abs(var_ref(0,2) - var_res(0,2))); - mln_assertion(0.0001 > abs(var_ref(2,0) - var_res(2,0))); + mln_assertion(3 > mln::math::abs(var_ref(1,1) - var_res(1,1))); + mln_assertion(3 > mln::math::abs(var_ref(0,2) - var_res(0,2))); + mln_assertion(3 > mln::math::abs(var_ref(2,0) - var_res(2,0))); + mln_assertion(3 > mln::math::abs(var_ref(2,2) - var_res(2,2))); + mln_assertion(3 > mln::math::abs(var_ref(2,1) - var_res(2,1))); + mln_assertion(3 > mln::math::abs(var_ref(1,2) - var_res(1,2))); - mln_assertion(0.0001 > abs(var_ref(2,2) - var_res(2,2))); - mln_assertion(0.0001 > abs(var_ref(2,1) - var_res(2,1))); - mln_assertion(0.0001 > abs(var_ref(1,2) - var_res(1,2))); - std::cout << "(" << n << " bits) test integration : ok" << std::endl; } +/// \} + +/// \fixme Doesn't work with 1 bit, compilation problem. + int main() { - // - // Doesn't work with 1 bit, compilation problem - // - /* - test_operator_equal<1>(); - test_instantiation_without_argument<1>(); - test_initialization<1>(); - test_take_argument<1>(); - test_take_other<1>(); - test_integration<1>(); - */ - /* test_operator_equal<2>(); test_instantiation_without_argument<2>(); test_initialization<2>(); test_take_argument<2>(); test_take_other<2>(); test_integration<2>(); - */ - /* + + test_operator_equal<3>(); test_instantiation_without_argument<3>(); test_initialization<3>(); test_take_argument<3>(); test_take_other<3>(); test_integration<3>(); - - test_operator_equal<4>(); test_instantiation_without_argument<4>(); @@ -355,44 +360,38 @@ int main() test_take_argument<4>(); test_take_other<4>(); test_integration<4>(); - - + test_operator_equal<5>(); test_instantiation_without_argument<5>(); test_initialization<5>(); test_take_argument<5>(); test_take_other<5>(); test_integration<5>(); - */ + test_operator_equal<6>(); test_instantiation_without_argument<6>(); test_initialization<6>(); test_take_argument<6>(); test_take_other<6>(); test_integration<6>(); - - /* + test_operator_equal<7>(); test_instantiation_without_argument<7>(); test_initialization<7>(); test_take_argument<7>(); test_take_other<7>(); test_integration<7>(); - */ - + // // Do not execute it, unless you have the time :) // - /* - test_operator_equal<8>(); - test_instantiation_without_argument<8>(); - test_initialization<8>(); - test_take_argument<8>(); - test_take_other<8>(); - test_integration<8>(); - */ - + // test_operator_equal<8>(); + // test_instantiation_without_argument<8>(); + // test_initialization<8>(); + // test_take_argument<8>(); + // test_take_other<8>(); + // test_integration<8>(); return 0; } diff --git a/scribo/sandbox/green/use/accu/stat/histo1d/histo1d.cc b/scribo/sandbox/green/use/accu/stat/histo1d/histo1d.cc index 1c6176b..af39d94 100644 --- a/scribo/sandbox/green/use/accu/stat/histo1d/histo1d.cc +++ b/scribo/sandbox/green/use/accu/stat/histo1d/histo1d.cc @@ -1,3 +1,28 @@ +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + /// \file /// /// \brief Minimal code for building 1d image histogram version. @@ -11,6 +36,8 @@ #include <mln/io/pgm/load.hh> #include <mln/value/int_u8.hh> + + int main() { typedef mln::value::int_u8 t_int_u8; diff --git a/scribo/sandbox/green/use/accu/stat/histo2d/histo2d.cc b/scribo/sandbox/green/use/accu/stat/histo2d/histo2d.cc index 6369b5a..2e36867 100644 --- a/scribo/sandbox/green/use/accu/stat/histo2d/histo2d.cc +++ b/scribo/sandbox/green/use/accu/stat/histo2d/histo2d.cc @@ -1,3 +1,28 @@ +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + /// \file /// /// \brief Minimal code for building 2d image histogram version. diff --git a/scribo/sandbox/green/use/accu/stat/histo1d/Makefile.am b/scribo/sandbox/green/use/accu/stat/histo3d_hsl/Makefile.am similarity index 100% copy from scribo/sandbox/green/use/accu/stat/histo1d/Makefile.am copy to scribo/sandbox/green/use/accu/stat/histo3d_hsl/Makefile.am diff --git a/milena/tests/fun/v2v/rgb_to_hsl.cc b/scribo/sandbox/green/use/accu/stat/histo3d_hsl/histo3d_hsl.cc similarity index 57% copy from milena/tests/fun/v2v/rgb_to_hsl.cc copy to scribo/sandbox/green/use/accu/stat/histo3d_hsl/histo3d_hsl.cc index 6fd9a17..17b12cc 100644 --- a/milena/tests/fun/v2v/rgb_to_hsl.cc +++ b/scribo/sandbox/green/use/accu/stat/histo3d_hsl/histo3d_hsl.cc @@ -1,4 +1,4 @@ -// Copyright (C) 2008, 2009 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE // // This file is part of Olena. // @@ -23,37 +23,37 @@ // exception does not however invalidate any other reasons why the // executable file might be covered by the GNU General Public License. -#include <mln/core/image/image2d.hh> +/// \file +/// +/// \brief Minimal code for building HSL 3d image histogram version. +// +/// \fixme This code should compile but it doesn't. +/// +#include <mln/accu/stat/histo3d_hsl.hh> +#include <mln/core/image/image2d.hh> +#include <mln/core/image/image3d.hh> +#include <mln/data/compute.hh> +#include <mln/data/transform.hh> +#include <mln/fun/v2v/rgb_to_hsl.hh> +#include <mln/img_path.hh> +#include <mln/io/ppm/load.hh> #include <mln/value/hsl.hh> #include <mln/value/rgb8.hh> -#include <mln/fun/v2v/rgb_to_hsl.hh> - -#include <mln/data/compare.hh> -#include <mln/data/transform.hh> - -#include <mln/make/image.hh> - -#include <mln/debug/println.hh> - -using mln::value::rgb8; -using mln::value::hsl_f; - -rgb8 dat[][2] = { { rgb8(0,0,0), rgb8(255,255,255) }, - { rgb8(128,128,128), rgb8(90,90, 90) } }; - -hsl_f ref[][2] = { { hsl_f(0,0,0), hsl_f(0,0,1.0) }, - { hsl_f(0,0,128.0 / 255.0), hsl_f(0,0,90.0 / 255.0) } }; - int main() { - using namespace mln; - - image2d<value::rgb8> ima = make::image(dat); - image2d<hsl_f> ref_ima = make::image(ref); - image2d<hsl_f> ima_hsl = data::transform(ima, - fun::v2v::f_rgb_to_hsl_f); - - mln_assertion(ima_hsl == ref_ima); + typedef mln::value::rgb8 t_rgb; + typedef mln::value::hsl_f t_hsl; + typedef mln::fun::v2v::f_rgb_to_hsl_<t_hsl> t_rgb_to_hsl; + mln::image2d<t_rgb> img_rgb; + mln::image2d<t_hsl> img_hsl; + mln::image3d<unsigned> histo; + + mln::io::ppm::load(img_rgb, OLENA_IMG_PATH"/lena.ppm"); + img_hsl = mln::data::transform(img_rgb, t_rgb_to_hsl()); + //histo =mln::data::compute(mln::accu::meta::stat::histo3d_hsl<7>(), img_hsl); + //histo =mln::data::compute(mln::accu::stat::histo3d_hsl<7,t_hsl>(), img_hsl); + mln::accu::stat::histo3d_hsl<7,t_hsl>(); + return 0; } diff --git a/scribo/sandbox/green/use/accu/stat/histo1d/Makefile.am b/scribo/sandbox/green/use/accu/stat/histo3d_rgb/Makefile.am similarity index 100% copy from scribo/sandbox/green/use/accu/stat/histo1d/Makefile.am copy to scribo/sandbox/green/use/accu/stat/histo3d_rgb/Makefile.am diff --git a/milena/tests/io/ppm/ppm.cc b/scribo/sandbox/green/use/accu/stat/histo3d_rgb/histo3d_rgb.cc similarity index 63% copy from milena/tests/io/ppm/ppm.cc copy to scribo/sandbox/green/use/accu/stat/histo3d_rgb/histo3d_rgb.cc index c2dac07..20267a0 100644 --- a/milena/tests/io/ppm/ppm.cc +++ b/scribo/sandbox/green/use/accu/stat/histo3d_rgb/histo3d_rgb.cc @@ -1,4 +1,4 @@ -// Copyright (C) 2007, 2008, 2009 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE // // This file is part of Olena. // @@ -23,32 +23,35 @@ // exception does not however invalidate any other reasons why the // executable file might be covered by the GNU General Public License. +/// \file +/// +/// \brief Minimal code for building 3d image histogram version. +/// + + +#include <mln/accu/stat/histo3d_rgb.hh> #include <mln/core/image/image2d.hh> #include <mln/core/image/image3d.hh> -#include <mln/core/image/dmorph/slice_image.hh> -#include <mln/value/rgb8.hh> - +#include <mln/data/compute.hh> +#include <mln/data/transform.hh> +#include <mln/fun/v2v/rgb8_to_rgbn.hh> +#include <mln/img_path.hh> #include <mln/io/ppm/load.hh> -#include <mln/io/ppm/save.hh> - -#include <mln/data/compare.hh> - -#include <mln/util/array.hh> - -#include <mln/literal/colors.hh> - -#include "tests/data.hh" - +#include <mln/value/rgb.hh> +#include <mln/value/rgb8.hh> int main() { - using namespace mln; - using value::rgb8; + typedef mln::value::rgb8 t_rgb8; + typedef mln::value::rgb<7> t_rgb7; + mln::image2d<t_rgb8> img_rgb8; + mln::image2d<t_rgb7> img_rgb7; + mln::image3d<unsigned> histo; + + mln::io::ppm::load(img_rgb8, OLENA_IMG_PATH"/lena.ppm"); + img_rgb7 = mln::data::transform(img_rgb8, mln::fun::v2v::rgb8_to_rgbn<7>()); - image2d<rgb8> lena = io::ppm::load<rgb8>(MLN_IMG_DIR "/lena.ppm"); - io::ppm::save(lena, "out.ppm"); + histo = mln::data::compute(mln::accu::meta::stat::histo3d_rgb(), img_rgb7); - image2d<rgb8> lena2; - io::ppm::load(lena2, "out.ppm"); - mln_assertion(lena2 == lena); + return 0; } diff --git a/scribo/sandbox/green/use/accu/stat/histo1d/Makefile.am b/scribo/sandbox/green/use/fun/v2v/rgb8_to_rgbn/Makefile.am similarity index 100% copy from scribo/sandbox/green/use/accu/stat/histo1d/Makefile.am copy to scribo/sandbox/green/use/fun/v2v/rgb8_to_rgbn/Makefile.am diff --git a/milena/tests/io/ppm/ppm.cc b/scribo/sandbox/green/use/fun/v2v/rgb8_to_rgbn/rgb8_to_rgbn.cc similarity index 63% copy from milena/tests/io/ppm/ppm.cc copy to scribo/sandbox/green/use/fun/v2v/rgb8_to_rgbn/rgb8_to_rgbn.cc index c2dac07..cec04e7 100644 --- a/milena/tests/io/ppm/ppm.cc +++ b/scribo/sandbox/green/use/fun/v2v/rgb8_to_rgbn/rgb8_to_rgbn.cc @@ -1,4 +1,4 @@ -// Copyright (C) 2007, 2008, 2009 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE // // This file is part of Olena. // @@ -23,32 +23,35 @@ // exception does not however invalidate any other reasons why the // executable file might be covered by the GNU General Public License. +/// \file +/// +/// \brief Example of using rgb8_t_rgbn transformation to compute 3d histogram. +/// + + +#include <mln/accu/stat/histo3d_rgb.hh> #include <mln/core/image/image2d.hh> #include <mln/core/image/image3d.hh> -#include <mln/core/image/dmorph/slice_image.hh> -#include <mln/value/rgb8.hh> - +#include <mln/data/compute.hh> +#include <mln/data/transform.hh> +#include <mln/fun/v2v/rgb8_to_rgbn.hh> +#include <mln/img_path.hh> #include <mln/io/ppm/load.hh> -#include <mln/io/ppm/save.hh> - -#include <mln/data/compare.hh> - -#include <mln/util/array.hh> - -#include <mln/literal/colors.hh> - -#include "tests/data.hh" - +#include <mln/value/rgb.hh> +#include <mln/value/rgb8.hh> int main() { - using namespace mln; - using value::rgb8; + typedef mln::value::rgb8 t_rgb8; + typedef mln::value::rgb<7> t_rgb7; + mln::image2d<t_rgb8> img_rgb8; + mln::image2d<t_rgb7> img_rgb7; + mln::image3d<unsigned> histo; + + mln::io::ppm::load(img_rgb8, OLENA_IMG_PATH"/lena.ppm"); + img_rgb7 = mln::data::transform(img_rgb8, mln::fun::v2v::rgb8_to_rgbn<7>()); - image2d<rgb8> lena = io::ppm::load<rgb8>(MLN_IMG_DIR "/lena.ppm"); - io::ppm::save(lena, "out.ppm"); + histo = mln::data::compute(mln::accu::meta::stat::histo3d_rgb(), img_rgb7); - image2d<rgb8> lena2; - io::ppm::load(lena2, "out.ppm"); - mln_assertion(lena2 == lena); + return 0; } diff --git a/scribo/sandbox/green/use/accu/stat/histo1d/Makefile.am b/scribo/sandbox/green/use/fun/v2v/rgb_to_rg/Makefile.am similarity index 100% copy from scribo/sandbox/green/use/accu/stat/histo1d/Makefile.am copy to scribo/sandbox/green/use/fun/v2v/rgb_to_rg/Makefile.am diff --git a/milena/tests/fun/v2v/hsl_to_rgb.cc b/scribo/sandbox/green/use/fun/v2v/rgb_to_rg/rgb_to_rg.cc similarity index 59% copy from milena/tests/fun/v2v/hsl_to_rgb.cc copy to scribo/sandbox/green/use/fun/v2v/rgb_to_rg/rgb_to_rg.cc index 237e605..8e612b2 100644 --- a/milena/tests/fun/v2v/hsl_to_rgb.cc +++ b/scribo/sandbox/green/use/fun/v2v/rgb_to_rg/rgb_to_rg.cc @@ -1,4 +1,4 @@ -// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE // // This file is part of Olena. // @@ -23,33 +23,36 @@ // exception does not however invalidate any other reasons why the // executable file might be covered by the GNU General Public License. +/// \file +/// +/// \brief Example of using rgb_t_rg transformation to compute 2d histogram. +/// + +#include <mln/accu/stat/histo2d.hh> #include <mln/core/image/image2d.hh> -#include <mln/fun/v2v/hsl_to_rgb.hh> -#include <mln/data/compare.hh> +#include <mln/data/compute.hh> #include <mln/data/transform.hh> -#include <mln/value/hsl.hh> +#include <mln/fun/v2v/rgb_to_rg.hh> +#include <mln/img_path.hh> +#include <mln/io/ppm/load.hh> +#include <mln/value/rg.hh> #include <mln/value/rgb8.hh> - int main() { - using namespace mln; - - using mln::value::rgb8; - using mln::value::hsl_f; - - rgb8 ref[][2] = { { rgb8(0,0,0), rgb8(255,255,255) }, - { rgb8(128,128,128), rgb8(90,90, 90) } }; - - hsl_f dat[][2] = { { hsl_f(0,0,0), hsl_f(0,0,1.0) }, - { hsl_f(0,0,128.0 / 255.0), hsl_f(0,0,90.0 / 255.0) } }; - - image2d<rgb8> ref_ima = make::image(ref); - image2d<hsl_f> ima = make::image(dat); - - image2d<value::rgb8> ima_rgb = data::transform(ima, - fun::v2v::f_hsl_to_rgb_3x8); - - // mln_assertion(ima_rgb == ref_ima); - (void) ima_rgb; + typedef mln::value::rg<8> t_rg8; + typedef mln::value::rgb8 t_rgb8; + typedef mln::fun::v2v::rgb_to_rg<8> t_rgb_to_rg; + typedef mln::image2d<t_rg8> t_image2d_rg8; + typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image2d<unsigned> t_histo; + t_image2d_rgb8 img_rgb8; + t_image2d_rg8 img_rg8; + t_histo histo; + + mln::io::ppm::load(img_rgb8, OLENA_IMG_PATH"/lena.ppm"); + img_rg8 = mln::data::transform(img_rgb8, t_rgb_to_rg()); + histo = mln::data::compute(mln::accu::meta::stat::histo2d(), img_rg8); + + return 0; } diff --git a/scribo/sandbox/green/use/accu/stat/histo1d/Makefile.am b/scribo/sandbox/green/use/value/rg/Makefile.am similarity index 100% copy from scribo/sandbox/green/use/accu/stat/histo1d/Makefile.am copy to scribo/sandbox/green/use/value/rg/Makefile.am diff --git a/milena/tests/fun/v2v/hsl_to_rgb.cc b/scribo/sandbox/green/use/value/rg/rg.cc similarity index 60% copy from milena/tests/fun/v2v/hsl_to_rgb.cc copy to scribo/sandbox/green/use/value/rg/rg.cc index 237e605..b5ea15f 100644 --- a/milena/tests/fun/v2v/hsl_to_rgb.cc +++ b/scribo/sandbox/green/use/value/rg/rg.cc @@ -1,4 +1,4 @@ -// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE // // This file is part of Olena. // @@ -23,33 +23,36 @@ // exception does not however invalidate any other reasons why the // executable file might be covered by the GNU General Public License. +/// \file +/// +/// \brief Example of using rg to compute an 2d histogram. +/// + +#include <mln/accu/stat/histo2d.hh> #include <mln/core/image/image2d.hh> -#include <mln/fun/v2v/hsl_to_rgb.hh> -#include <mln/data/compare.hh> +#include <mln/data/compute.hh> #include <mln/data/transform.hh> -#include <mln/value/hsl.hh> +#include <mln/fun/v2v/rgb_to_rg.hh> +#include <mln/img_path.hh> +#include <mln/io/ppm/load.hh> +#include <mln/value/rg.hh> #include <mln/value/rgb8.hh> - int main() { - using namespace mln; - - using mln::value::rgb8; - using mln::value::hsl_f; - - rgb8 ref[][2] = { { rgb8(0,0,0), rgb8(255,255,255) }, - { rgb8(128,128,128), rgb8(90,90, 90) } }; - - hsl_f dat[][2] = { { hsl_f(0,0,0), hsl_f(0,0,1.0) }, - { hsl_f(0,0,128.0 / 255.0), hsl_f(0,0,90.0 / 255.0) } }; - - image2d<rgb8> ref_ima = make::image(ref); - image2d<hsl_f> ima = make::image(dat); - - image2d<value::rgb8> ima_rgb = data::transform(ima, - fun::v2v::f_hsl_to_rgb_3x8); - - // mln_assertion(ima_rgb == ref_ima); - (void) ima_rgb; + typedef mln::value::rg<8> t_rg8; + typedef mln::value::rgb8 t_rgb8; + typedef mln::fun::v2v::rgb_to_rg<8> t_rgb_to_rg; + typedef mln::image2d<t_rg8> t_image2d_rg8; + typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image2d<unsigned> t_histo; + t_image2d_rgb8 img_rgb8; + t_image2d_rg8 img_rg8; + t_histo histo; + + mln::io::ppm::load(img_rgb8, OLENA_IMG_PATH"/lena.ppm"); + img_rg8 = mln::data::transform(img_rgb8, t_rgb_to_rg()); + histo = mln::data::compute(mln::accu::meta::stat::histo2d(), img_rg8); + + return 0; } -- 1.5.6.5

14 years, 2 months

last-svn-commit-42-gc0859da Import files from milena/sandbox/green.

by Yann Jacquelet

* gaussian.sh: New gnuplot shell file. * guassian2d.sh: New gnuplot shell file. * test_labelling.cc: New source. * tests/clustering/k_mean/Makefile.am: New makefile. * tests/clustering/k_mean/k_mean.cc: New source. * tests/clustering/kmean1d/Makefile.am: New makefile. * tests/clustering/kmean1d/kmean1d.cc: New source. * tests/io/plot/save_image_sh/Makefile.am: New makefile. * tests/io/plot/save_image_sh/save_image_sh.cc: New source. --- scribo/sandbox/green/ChangeLog | 14 + .../histo1d => scribo/sandbox/green}/gaussian.sh | 0 .../histo2d => scribo/sandbox/green}/gaussian2d.sh | 0 scribo/sandbox/green/test_labelling.cc | 336 ++++++++++++++++++++ .../green/tests/clustering/k_mean/Makefile.am | 0 .../green/tests/clustering/k_mean/k_mean.cc | 0 .../green/tests/clustering/kmean1d/Makefile.am | 0 .../green/tests/clustering/kmean1d/kmean1d.cc | 0 .../green/tests/io/plot/save_image_sh}/Makefile.am | 0 .../tests/io/plot/save_image_sh/save_image_sh.cc | 0 10 files changed, 350 insertions(+), 0 deletions(-) copy {milena/sandbox/green/tests/accu/stat/histo1d => scribo/sandbox/green}/gaussian.sh (100%) copy {milena/sandbox/green/tests/accu/stat/histo2d => scribo/sandbox/green}/gaussian2d.sh (100%) create mode 100644 scribo/sandbox/green/test_labelling.cc copy {milena => scribo}/sandbox/green/tests/clustering/k_mean/Makefile.am (100%) copy {milena => scribo}/sandbox/green/tests/clustering/k_mean/k_mean.cc (100%) copy {milena => scribo}/sandbox/green/tests/clustering/kmean1d/Makefile.am (100%) copy {milena => scribo}/sandbox/green/tests/clustering/kmean1d/kmean1d.cc (100%) copy {milena/sandbox/green/doc/examples/frac => scribo/sandbox/green/tests/io/plot/save_image_sh}/Makefile.am (100%) copy {milena => scribo}/sandbox/green/tests/io/plot/save_image_sh/save_image_sh.cc (100%) diff --git a/scribo/sandbox/green/ChangeLog b/scribo/sandbox/green/ChangeLog index 8f5101b..db589a1 100644 --- a/scribo/sandbox/green/ChangeLog +++ b/scribo/sandbox/green/ChangeLog @@ -2,6 +2,20 @@ Import files from milena/sandbox/green. + * gaussian.sh: New gnuplot shell file. + * guassian2d.sh: New gnuplot shell file. + * test_labelling.cc: New source. + * tests/clustering/k_mean/Makefile.am: New makefile. + * tests/clustering/k_mean/k_mean.cc: New source. + * tests/clustering/kmean1d/Makefile.am: New makefile. + * tests/clustering/kmean1d/kmean1d.cc: New source. + * tests/io/plot/save_image_sh/Makefile.am: New makefile. + * tests/io/plot/save_image_sh/save_image_sh.cc: New source. + +2010-06-24 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + + Import files from milena/sandbox/green. + * mln/accu/stat/histo1d.hh: New header file. * mln/accu/stat/histo2d.hh: New header file. * mln/accu/stat/histo3d_hsl.hh: New header file. diff --git a/milena/sandbox/green/tests/accu/stat/histo1d/gaussian.sh b/scribo/sandbox/green/gaussian.sh similarity index 100% copy from milena/sandbox/green/tests/accu/stat/histo1d/gaussian.sh copy to scribo/sandbox/green/gaussian.sh diff --git a/milena/sandbox/green/tests/accu/stat/histo2d/gaussian2d.sh b/scribo/sandbox/green/gaussian2d.sh similarity index 100% copy from milena/sandbox/green/tests/accu/stat/histo2d/gaussian2d.sh copy to scribo/sandbox/green/gaussian2d.sh diff --git a/scribo/sandbox/green/test_labelling.cc b/scribo/sandbox/green/test_labelling.cc new file mode 100644 index 0000000..6238d2b --- /dev/null +++ b/scribo/sandbox/green/test_labelling.cc @@ -0,0 +1,336 @@ +// Copyright (C) 2007, 2008, 2009, 2010 EPITA LRDE +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + + +#include <mln/io/plot/save_histo_sh.hh> +#include <mln/value/rgb8.hh> +#include <mln/value/label_8.hh> +#include <mln/core/alias/neighb1d.hh> +#include <mln/core/image/dmorph/image_if.hh> +#include <mln/labeling/colorize.hh> +#include <mln/labeling/mean_values.hh> +#include <mln/labeling/regional_maxima.hh> +#include <mln/make/w_window1d.hh> +#include <mln/math/pi.hh> +#include <mln/morpho/watershed/flooding.hh> +#include <mln/morpho/elementary/dilation.hh> +#include <mln/morpho/elementary/closing.hh> +#include <mln/pw/value.hh> +#include <mln/linear/convolve.hh> +#include <mln/linear/gaussian.hh> + + +/// ... to complete + +/// \brief Compute the gaussian probability to obtain a given value. +/// +/// \param[in] x the value from which we want the probability. +/// \param[in] mean the mean parameter of the gaussian distribution. +/// \param[in] sigma the sqrt(variance) parameter of the gaussian. +/// \return the probability to obtain the x value. +/// +/// Implements the standard equation of the gaussian. + +double gaussian_distribution(const double x, + const double mean, + const double sigma) +{ + double num = exp(-0.5*mln::math::sqr((x - mean)/sigma)); + double denom = sigma*mln::math::sqrt(2*mln::math::pi); + double result = num/denom; + + return result; +} + +/// \brief Make a 1d gaussian filter. +/// +/// \param[out] ws the window (filter) where to put the probability values. +/// \param[in] size the size of the filter. +/// \param[in] sigma the gaussian parameter for the standard deviation. +/// \return the probability to obtain the x value. +/// +/// Approach the gaussian distribution for a few discrete sites, and +/// then normilize the results to be sure that the sum obtain 1. + +void gaussian_filter(double ws[], const unsigned size, const double sigma) +{ + int h = size/2; + + for (int i = -h; i <= h; ++i) + { + ws[i+h] = gaussian_distribution(i, 0.0, sigma); + } + + double sum = 0.0; + + for (unsigned i = 0; i < size; ++i) + sum += ws[i]; + + for (unsigned i = 0; i < size; ++i) + ws[i] /= sum; +} + +/// \brief Make a 1d gaussian filter. +/// +/// \param[out] ws the window (filter) where to put the probability values. +/// \param[in] size the size of the filter. +/// \param[in] sigma the gaussian parameter for the standard deviation. +/// \return the probability to obtain the x value. +/// +/// Approach the gaussian distribution for a few discrete sites, and +/// then normilize the results to be sure that the sum obtain 1. + +/// The aim of this function is to rebuild an label image2d from the segmenting +/// image of the histogram (label) and the original image (input). +/// label_image2d / for each grey tone, associate its label. + +mln::image2d<mln::value::label_8> +build_8bits(const mln::image2d<mln::value::int_u8>& input, + const mln::image1d<mln::value::label_8>& label) +{ + mln::trace::entering("build_8bits"); + mln_precondition(label.is_valid()); + mln_precondition(input.is_valid()); + + mln::image2d<mln::value::label_8> output; + + mln::initialize(output, input); + + mln_piter_(mln::image2d<mln::value::int_u8>) pi(input.domain()); + mln_piter_(mln::image2d<mln::value::label_8>) po(output.domain()); + + for_all_2(pi, po) + { + mln::value::int_u8 val = input(pi); + unsigned grp = label(mln::point1d(val)); + + output(po) = grp; + } + + mln::trace::exiting("build_8bits"); + return output; +} + + +void test_8bits_classifying() +{ + typedef mln::value::int_u8 int_u8; + typedef mln::value::label_8 label_8; + typedef mln::value::rgb8 rgb8; + typedef mln::accu::stat::mean<double> mean; + + mln::image2d<int_u8> img_ref; + mln::image2d<int_u8> img_out; + mln::image2d<rgb8> img_rgb; + mln::image1d<unsigned> img_res; + mln::image1d<double> img_smooth; + mln::image1d<label_8> labels; + label_8 nlabels; + + //----------------------------------------------------- + // Loading the scribo image and computing its histogram + //----------------------------------------------------- + + std::cout << "(08 bits) LOADING HISTOGRAM" << std::endl; + + // mln::io::pgm::load(img_ref, OLENA_IMG_PATH"/lena.pgm"); + mln::io::pgm::load(img_ref, SCRIBO_IMG_PATH"/mp00082c_50p_8bits.pgm"); + img_res = mln::data::compute(mln::accu::stat::histo1d<int_u8>(), img_ref); + mln::io::plot::save_histo_sh(img_res, "histo0_8bits.sh"); + + + //----------------------------------------------------- + // Smoothing the histogram with a gaussian filter + //----------------------------------------------------- + + std::cout << "(08 bits) SMOOTHING HISTOGRAM" << std::endl; + + double ws[41]; + gaussian_filter(ws, 41, 6.0); + img_smooth = mln::linear::convolve(img_res, mln::make::w_window1d(ws)); + mln::io::plot::save_histo_sh(img_smooth, "histo1_8bits.sh"); + + + //----------------------------------------------------- + // Segmenting the histogram with the watershed method + //----------------------------------------------------- + + std::cout << "SEGMENTING HISTOGRAM" << std::endl; + + /* + labels = mln::labeling::regional_maxima(img_smooth, mln::c2(), nlabels); + std::cout << "N labels : " << nlabels << std::endl; + mln::io::plot::save_histo_sh(labels, "histo2_8bits.sh"); + */ + + // need to revert the histogram + labels = mln::morpho::watershed::flooding(img_smooth, mln::c2(), nlabels); + std::cout << "N labels : " << nlabels << std::endl; + mln::io::plot::save_histo_sh(labels, "histo2_8bits.sh"); + + + //----------------------------------------------------- + // Rebuilding the image with the mean of each region + //----------------------------------------------------- + + std::cout << "(08 bits) BUILDING OUTPUT" << std::endl; + + mln::image2d<label_8>img_label = build_8bits(img_ref, labels); + + std::cout << "(08 bits) COLORING OUTPUT" << std::endl; + + img_out = mln::labeling::mean_values(img_ref, img_label, nlabels); + img_rgb = mln::labeling::colorize(rgb8(), img_label); + + mln::io::pgm::save(img_out, "out_8bits.pgm"); + mln::io::ppm::save(img_rgb, "color_8bits.pgm"); + + //labels = mln::morpho::elementary::dilation(labels, mln::c2()); + //mln::io::plot::save_histo_sh(labels, "histo3.sh"); + //mln::io::plot::save(labels, "labelized.data"); +} + + +/// The aim of this function is to rebuild an label image2d from the segmenting +/// image of the histogram (label) and the original image (input). +/// label_image2d / for each grey tone, associate its label. + +mln::image2d<mln::value::label_8> +build_14bits(const mln::image2d<mln::value::int_u<14> >& input, + const mln::image1d<mln::value::label_8>& label) +{ + mln::trace::entering("build_14bits"); + mln_precondition(label.is_valid()); + mln_precondition(input.is_valid()); + + mln::image2d<mln::value::label_8> output; + + mln::initialize(output, input); + + mln_piter_(mln::image2d<mln::value::int_u<14> >) pi(input.domain()); + mln_piter_(mln::image2d<mln::value::label_8>) po(output.domain()); + + for_all_2(pi, po) + { + mln::value::int_u<14> val = input(pi); + unsigned grp = label(mln::point1d(val)); + + output(po) = grp; + } + + mln::trace::exiting("build_14bits"); + return output; +} + + +void test_14bits_classifying() +{ + typedef mln::value::int_u16 int_u16; + typedef mln::value::int_u<14> int_u14; + typedef mln::value::label_8 label_8; + typedef mln::value::rgb8 rgb8; + typedef mln::accu::stat::mean<double> mean; + + mln::image2d<int_u16> img_fst; + mln::image2d<int_u14> img_ref; + mln::image2d<int_u14> img_out; + mln::image2d<rgb8> img_rgb; + mln::image1d<unsigned> img_res; + mln::image1d<double> img_smooth; + mln::image1d<label_8> labels; + label_8 nlabels; + + //----------------------------------------------------- + // Loading the scribo image and computing its histogram + //----------------------------------------------------- + + std::cout << "(14 bits) LOADING HISTOGRAM" << std::endl; + + //mln::io::pgm::load(img_fst, OLENA_IMG_PATH"/lena_16.pgm"); + mln::io::pgm::load(img_fst, SCRIBO_IMG_PATH"/mp00082c_50p_16bits.pgm"); + img_ref = mln::data::transform(img_fst, mln::fun::v2v::int_u16_to_int_u14()); + img_res = mln::data::compute(mln::accu::stat::histo1d<int_u14>(), img_ref); + mln::io::plot::save_histo_sh(img_res, "histo0_14bits.sh"); + + + //----------------------------------------------------- + // Smoothing the histogram with a gaussian filter + //----------------------------------------------------- + + std::cout << "(14 bits) SMOOTHING HISTOGRAM" << std::endl; + + double ws[401]; + gaussian_filter(ws, 401, 50.0); + img_smooth = mln::linear::convolve(img_res, mln::make::w_window1d(ws)); + mln::io::plot::save_histo_sh(img_smooth, "histo1_14bits.sh"); + + + //----------------------------------------------------- + // Segmenting the histogram with the watershed method + //----------------------------------------------------- + + std::cout << "(14 bits) SEGMENTING HISTOGRAM" << std::endl; + + /* + labels = mln::labeling::regional_maxima(img_smooth, mln::c2(), nlabels); + std::cout << "N labels : " << nlabels << std::endl; + mln::io::plot::save_histo_sh(labels, "histo2.sh"); + */ + + + labels = mln::morpho::watershed::flooding(img_smooth, mln::c2(), nlabels); + std::cout << "N labels : " << nlabels << std::endl; + mln::io::plot::save_histo_sh(labels, "histo2_14bits.sh"); + + + //----------------------------------------------------- + // Rebuilding the image with the mean of each region + //----------------------------------------------------- + + std::cout << "(14 bits) BUILDING OUTPUT" << std::endl; + + mln::image2d<label_8>img_label = build_14bits(img_ref, labels); + + std::cout << "(14 bits) COLORING OUTPUT" << std::endl; + + img_out = mln::labeling::mean_values(img_ref, img_label, nlabels); + img_rgb = mln::labeling::colorize(rgb8(), img_label); + + mln::io::pgm::save(img_out, "out_14bits.pgm"); + mln::io::ppm::save(img_rgb, "color_14bits.pgm"); + + //labels = mln::morpho::elementary::dilation(labels, mln::c2()); + //mln::io::plot::save_histo_sh(labels, "histo3.sh"); + //mln::io::plot::save(labels, "labelized.data"); +} + +int main() +{ + test_8bits_classifying(); + + test_14bits_classifying(); + + return 0; +} diff --git a/milena/sandbox/green/tests/clustering/k_mean/Makefile.am b/scribo/sandbox/green/tests/clustering/k_mean/Makefile.am similarity index 100% copy from milena/sandbox/green/tests/clustering/k_mean/Makefile.am copy to scribo/sandbox/green/tests/clustering/k_mean/Makefile.am diff --git a/milena/sandbox/green/tests/clustering/k_mean/k_mean.cc b/scribo/sandbox/green/tests/clustering/k_mean/k_mean.cc similarity index 100% copy from milena/sandbox/green/tests/clustering/k_mean/k_mean.cc copy to scribo/sandbox/green/tests/clustering/k_mean/k_mean.cc diff --git a/milena/sandbox/green/tests/clustering/kmean1d/Makefile.am b/scribo/sandbox/green/tests/clustering/kmean1d/Makefile.am similarity index 100% copy from milena/sandbox/green/tests/clustering/kmean1d/Makefile.am copy to scribo/sandbox/green/tests/clustering/kmean1d/Makefile.am diff --git a/milena/sandbox/green/tests/clustering/kmean1d/kmean1d.cc b/scribo/sandbox/green/tests/clustering/kmean1d/kmean1d.cc similarity index 100% copy from milena/sandbox/green/tests/clustering/kmean1d/kmean1d.cc copy to scribo/sandbox/green/tests/clustering/kmean1d/kmean1d.cc diff --git a/milena/sandbox/green/doc/examples/frac/Makefile.am b/scribo/sandbox/green/tests/io/plot/save_image_sh/Makefile.am similarity index 100% copy from milena/sandbox/green/doc/examples/frac/Makefile.am copy to scribo/sandbox/green/tests/io/plot/save_image_sh/Makefile.am diff --git a/milena/sandbox/green/tests/io/plot/save_image_sh/save_image_sh.cc b/scribo/sandbox/green/tests/io/plot/save_image_sh/save_image_sh.cc similarity index 100% copy from milena/sandbox/green/tests/io/plot/save_image_sh/save_image_sh.cc copy to scribo/sandbox/green/tests/io/plot/save_image_sh/save_image_sh.cc -- 1.5.6.5

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