[Olena-patches] olena: olena-2.0-637-g57e5da7 milena/mln/binarization/tmms_hysteresis.hh: Temporary definition of tmms hysteresis.

--- milena/mln/binarization/tmms_hysteresis.hh | 518 +++++++++++++++------------- 1 files changed, 284 insertions(+), 234 deletions(-) diff --git a/milena/mln/binarization/tmms_hysteresis.hh b/milena/mln/binarization/tmms_hysteresis.hh index 64b5dbf..f80caf5 100644 --- a/milena/mln/binarization/tmms_hysteresis.hh +++ b/milena/mln/binarization/tmms_hysteresis.hh @@ -23,19 +23,20 @@ // exception does not however invalidate any other reasons why the // executable file might be covered by the GNU General Public License. -#ifndef MLN_BINARIZATION_TMMS_HH -# define MLN_BINARIZATION_TMMS_HH - -# include <mln/morpho/all.hh> -//# include <mln/labeling/values.hh> -#include <mln/labeling/blobs.hh> - +#ifndef MLN_BINARIZATION_TMMS_HYSTERESIS_HH +# define MLN_BINARIZATION_TMMS_HYSTERESIS_HH /// \file /// -/// \brief Binarization using TMMS algorithm (see "Text Segmentation -/// in Natural Scenes Using Toggle-Mapping" from icip09 for more -/// details) combined with hysteresis. +/// \brief Binarization using TMMS algorithm combined with hysteresis. + + +# include <mln/core/concept/image.hh> +# include <mln/core/concept/window.hh> +# include <mln/core/alias/neighb2d.hh> +# include <mln/morpho/dilation.hh> +# include <mln/morpho/erosion.hh> +# include <mln/labeling/blobs.hh> namespace mln @@ -44,280 +45,329 @@ namespace mln namespace binarization { - /** - Binarize \p in_image by the use of TMMS algorithm (see "Text - Segmentation in Natural Scenes Using Toggle-Mapping" from icip09 - for more details). - \tparam image_in_ the input image (not modified by the algorithm. + /*! + Binarize \p input by the use of TMMS algorithm (see "Text + Segmentation in Natural Scenes Using Toggle-Mapping" from + icip09 for more details \cite fabrizio2009icip). This version + is combined with hysteresis. + + \param[in] input the input image. - \tparam struct_element the structuring element used to compute - erosion and dilation of input image (During TMMS algorithm, input - image is mapped over two fuctions: an erosion and a dilation of - the input image). + \param[in] win the structuring element used to compute erosion + and dilation of input image (During TMMS algorithm, input image + is mapped over two fuctions: an erosion and a dilation of the + input image). - \param c_min the min contrast allowed to extract feature. + \param[in] c_min the min contrast allowed to extract feature. - \return an image with "foreground" marked with the highest - possible color (hc), the "background" marked with the lower - possible color (lc) and homogeneous regions of the image marked - with the color (hc+lc)/2. (This will fail with two colors images, - but it seems to be a bit stupid to try to binarize two color - images?) + \return an image with "foreground" marked with the highest + possible color (hc), the "background" marked with the lowest + possible color (lc) and homogeneous regions of the image marked + with the color (hc+lc)/2. (This will fail with two colors + images, but it seems to be a bit stupid to try to binarize two + color images?) - \author J. Fabrizio - */ + \author J. Fabrizio + + \ingroup modroutines + */ template<typename I, typename W> mln_concrete(I) - tmms_hysteresis(const Image<I>& in_image_, const Window<W>& struct_element, - const mln_value(I)& c_min_low, const mln_value(I)& c_min_high, - const mln_value(I)& min_level, - const mln_value(I)& med_level, - const mln_value(I)& max_level, - const int pourcent); + tmms_hysteresis(const Image<I>& input_, const Window<W>& win, + const mln_value(I)& c_min_low, + const mln_value(I)& c_min_high, + const mln_value(I)& min_level, + const mln_value(I)& med_level, + const mln_value(I)& max_level, + const int pourcent); + # ifndef MLN_INCLUDE_ONLY + // Implementations + namespace impl { - + namespace generic { - + template<typename I, typename W> mln_concrete(I) - tmms_hysteresis(const Image<I>& in_image_, const Window<W>& struct_element, - const mln_value(I)& c_min_low, const mln_value(I)& c_min_high, - const mln_value(I)& min_level, - const mln_value(I)& med_level, - const mln_value(I)& max_level, - const int pourcent) + tmms_hysteresis(const Image<I>& input_, const Window<W>& win_, + const mln_value(I)& c_min_low, + const mln_value(I)& c_min_high, + const mln_value(I)& min_level, + const mln_value(I)& med_level, + const mln_value(I)& max_level, + const int pourcent) { - mln_trace("binarization::tmms_hysteresis"); - - const I& in_image = exact(in_image_); + mln_trace("mln::binarization::impl::generic::tmms_hysteresis"); - mln_concrete(I) low_image; - mln_concrete(I) high_image; + const I& input = exact(input_); + const W& win = exact(win_); - mln_concrete(I) dilation = mln::morpho::dilation(in_image, struct_element); - mln_concrete(I) erosion = mln::morpho::erosion(in_image, struct_element); + mln_precondition(input.is_valid()); + mln_precondition(win.is_valid()); - unsigned int nlabels; + typedef mln_value(I) V; - mln_piter(I) p(in_image.domain()); + mln_concrete(I) dilation = mln::morpho::dilation(input, win); + mln_concrete(I) erosion = mln::morpho::erosion(input, win); - initialize(low_image, in_image); - initialize(high_image, in_image); + mln_concrete(I) low_image; + initialize(low_image, input); + mln_concrete(I) high_image; + initialize(high_image, input); - typedef mln_value(I) V; + mln_piter(I) p(input.domain()); for_all(p) { V dil = dilation(p); // by def : dil>=ima>=ero V ero = erosion(p); - V ima = in_image(p); - - if ((V)(dil - ero)<c_min_low) low_image(p) = high_image(p) = med_level; - else if ((V)(dil - ero)<c_min_high) { - low_image(p) = med_level; - if ( (V)(dil - ima) < pourcent*((V)(dil - ero))/100 ) - high_image(p) = max_level; - else - high_image(p) = min_level; - } else { - if ( (V)(dil - ima) < pourcent*((V)(dil - ero))/100 ) - low_image(p) = high_image(p) = max_level; - else - low_image(p) = high_image(p) = min_level; - } + V ima = input(p); + + if ((V)(dil - ero) < c_min_low) + { + low_image(p) = med_level; + high_image(p) = med_level; + } + else if ((V)(dil - ero) < c_min_high) + { + low_image(p) = med_level; + if ((V)(dil - ima) < pourcent * ((V) (dil - ero)) / 100) + high_image(p) = max_level; + else + high_image(p) = min_level; + } + else + { + if ((V)(dil - ima) < pourcent * ((V)(dil - ero)) / 100) + { + low_image(p) = max_level; + high_image(p) = max_level; + } + else + { + low_image(p) = min_level; + high_image(p) = min_level; + } + } } - mln_ch_value(I, unsigned int) labels_high_images; - //labels_high_images = mln::labeling::values(high_image, mln::c4(), nlabels); - labels_high_images = mln::labeling::blobs(high_image, mln::c4(), nlabels); - V *values = new V[nlabels]; + unsigned nlabels; + mln_ch_value(I, unsigned) + labels_high_images = mln::labeling::blobs(high_image, mln::c4(), nlabels); - for(unsigned int i=0;i<nlabels;i++) { - values[i]=med_level; - } + std::vector<V> values(nlabels + 1); - for_all(p) { - if (low_image(p)!=med_level) { - values[labels_high_images(p)]=low_image(p); - } - } + for (unsigned i = 0; i <= nlabels ; i++) + values[i] = med_level; - for_all(p) { - if (low_image(p)==med_level) { - low_image(p)=values[labels_high_images(p)]; - } - } - delete(values); + for_all(p) + if (low_image(p) != med_level) + values[labels_high_images(p)] = low_image(p); + + for_all(p) + if (low_image(p) == med_level) + low_image(p) = values[labels_high_images(p)]; return low_image; } } // end of namespace mln::binarization::impl::generic - - template<typename I, typename W> - mln_concrete(I) - tmms_hysteresis_fastest(const Image<I>& in_image_, const Window<W>& struct_element, - const mln_value(I)& c_min_low, const mln_value(I)& c_min_high, - const mln_value(I)& min_level, - const mln_value(I)& med_level, - const mln_value(I)& max_level, - const int pourcent) - { - mln_trace("binarization::tmms_hysteresis"); - - const I& in_image = exact(in_image_); - mln_concrete(I) low_image; - mln_concrete(I) high_image; - mln_concrete(I) dilation = mln::morpho::dilation(in_image, struct_element); - mln_concrete(I) erosion = mln::morpho::erosion(in_image, struct_element); + template<typename I, typename W> + mln_concrete(I) + tmms_hysteresis_fastest(const Image<I>& input_, const Window<W>& win_, + const mln_value(I)& c_min_low, const mln_value(I)& c_min_high, + const mln_value(I)& min_level, + const mln_value(I)& med_level, + const mln_value(I)& max_level, + const int pourcent) + { + mln_trace("mln::binarization::impl::tmms_hysteresis_fastest"); + + const I& input = exact(input_); + const W& win = exact(win_); + + mln_precondition(input.is_valid()); + mln_precondition(win.is_valid()); + + typedef mln_value(I) V; + + mln_concrete(I) dilation = mln::morpho::dilation(input, win); + mln_concrete(I) erosion = mln::morpho::erosion(input, win); + + // Checking border sizes. + border::resize(dilation, input.border()); + border::resize(erosion, input.border()); + mln_assertion(input.border() == dilation.border()); + mln_assertion(input.border() == erosion.border()); + + mln_concrete(I) low_image; + initialize(low_image, input); + mln_concrete(I) high_image; + initialize(high_image, input); + + unsigned nrows = geom::nrows(input); + unsigned ncols = geom::ncols(input); + for (unsigned row = 0; row < nrows; ++row) + { + const V *p_input = &(input.at_(row, 0)); + const V *p_dilation = &(dilation.at_(row, 0)); + const V *p_erosion = &(erosion.at_(row, 0)); + V *p_low_image = &(low_image.at_(row, 0)); + V *p_high_image = &(high_image.at_(row, 0)); + + for (unsigned col = 0; col < ncols; ++col) + { + V dil = *p_dilation; // by def : dil>=ima>=ero + V ero = *p_erosion; + V ima = *p_input; + + if ((V)(dil - ero) < c_min_low) + { + *p_low_image = med_level; + *p_high_image = med_level; + } + else if ((V)(dil - ero) < c_min_high) + { + *p_low_image = med_level; + + if ((V)(dil - ima) < (V)(pourcent * (dil - ero) / 100)) + *p_high_image = max_level; + else + *p_high_image = min_level; + } + else + { + if ((V)(dil - ima) < (V)(pourcent * (dil - ero) / 100)) + { + *p_low_image = max_level; + *p_high_image = max_level; + } + else + { + *p_low_image = min_level; + *p_high_image = min_level; + } + } + + ++p_input; + ++p_dilation; + ++p_erosion; + ++p_low_image; + ++p_high_image; + } + } + + unsigned nlabels; + mln_ch_value(I, unsigned) + labels_high_images = mln::labeling::blobs(high_image, c4(), nlabels); + + std::vector<V> values(nlabels + 1); + + for(unsigned i = 0; i <= nlabels; ++i) + values[i] = med_level; + + mln_piter(I) p(input.domain()); + for_all(p) + if (low_image(p) != med_level) + values[labels_high_images(p)] = low_image(p); + + for_all(p) + if (low_image(p) == med_level) + low_image(p) = values[labels_high_images(p)]; + + return low_image; + } - unsigned int nlabels; + }// end of namespace mln::binarization::impl - initialize(low_image, in_image); - initialize(high_image, in_image); - border::resize(dilation, in_image.border()); - border::resize(erosion, in_image.border()); - if (in_image.border()!=dilation.border() || - in_image.border()!=erosion.border()) - { - std::abort(); - } - - typedef mln_value(I) V; - - unsigned nrows = geom::nrows(in_image); - unsigned ncols = geom::ncols(in_image); - for (unsigned row = 0; row < nrows; row += 1) - { - const V *p_in_image=&(in_image.at_(row, 0)); - const V *p_dilation=&(dilation.at_(row, 0)); - const V *p_erosion=&(erosion.at_(row, 0)); - V *p_low_image=&(low_image.at_(row, 0)); - V *p_high_image=&(high_image.at_(row, 0)); - - for (unsigned col = 0; col < ncols; col += 1) - { - V dil = *p_dilation; // by def : dil>=ima>=ero - V ero = *p_erosion; - V ima = *p_in_image; - - if ((V)(dil - ero)<c_min_low) (*p_low_image) = (*p_high_image) = med_level; - else if ((V)(dil - ero)<c_min_high) { - (*p_low_image) = med_level; - if ( (V)(dil - ima) < pourcent*((V)(dil - ero))/100 ) - (*p_high_image) = max_level; - else - (*p_high_image) = min_level; - } else { - if ( (V)(dil - ima) < pourcent*((V)(dil - ero))/100 ) - (*p_low_image) = (*p_high_image) = max_level; - else - (*p_low_image) = (*p_high_image) = min_level; - } - p_in_image++; - p_dilation++; - p_erosion++; - p_low_image++; - p_high_image++; - } - } + // Dispatch - mln_ch_value(I, unsigned int) labels_high_images; - //labels_high_images = mln::labeling::values(high_image, mln::c4(), nlabels); - labels_high_images = mln::labeling::blobs(high_image, mln::c4(), nlabels); - V *values = new V[nlabels]; + namespace internal + { - for(unsigned int i=0;i<nlabels;i++) { - values[i]=med_level; - } + template<typename I, typename W> + mln_concrete(I) + tmms_hysteresis_dispatch(const I& ima, const W& win, + const mln_value(I)& c_min_low, + const mln_value(I)& c_min_high, + const mln_value(I)& min_level, + const mln_value(I)& med_level, + const mln_value(I)& max_level, + const int pourcent, mln::trait::image::speed::any) + { + return impl::generic::tmms_hysteresis(ima, win, + c_min_low, c_min_high, + min_level, med_level, + max_level, pourcent); + } + + template<typename I, typename W> + mln_concrete(I) + tmms_hysteresis_dispatch(const I& ima, const W& win, + const mln_value(I)& c_min_low, + const mln_value(I)& c_min_high, + const mln_value(I)& min_level, + const mln_value(I)& med_level, + const mln_value(I)& max_level, + const int pourcent, mln::trait::image::speed::fastest) + { + return impl::tmms_hysteresis_fastest(ima, win, + c_min_low, c_min_high, + min_level, med_level, + max_level, pourcent); + } + + template<typename I, typename W> + mln_concrete(I) + tmms_hysteresis_dispatch(const I& ima, const W& win, + const mln_value(I)& c_min_low, + const mln_value(I)& c_min_high, + const mln_value(I)& min_level, + const mln_value(I)& med_level, + const mln_value(I)& max_level, + const int pourcent) + { + return tmms_hysteresis_dispatch(ima, win, + c_min_low, c_min_high, + min_level, med_level, + max_level, pourcent, + mln_trait_image_speed(I)()); + } - mln_piter(I) p(in_image.domain()); - for_all(p) { - if (low_image(p)!=med_level) { - values[labels_high_images(p)]=low_image(p); - } - } + } //end of namespace namespace mln::binarization::internal - for_all(p) { - if (low_image(p)==med_level) { - low_image(p)=values[labels_high_images(p)]; - } - } - delete(values); - return low_image; - } - - }// end of namespace mln::binarization::impl - - namespace internal - { - - template<typename I, typename W> - mln_concrete(I) - tmms_hysteresis_dispatch(const I& ima, const W& struct_element, - const mln_value(I)& c_min_low, const mln_value(I)& c_min_high, - const mln_value(I)& min_level, const mln_value(I)& med_level, - const mln_value(I)& max_level, - const int pourcent, mln::trait::image::speed::any) - { - return mln::binarization::impl::generic::tmms_hysteresis(ima, - struct_element, c_min_low, c_min_high, - min_level, med_level, max_level, pourcent); - } + // Facade - template<typename I, typename W> - mln_concrete(I) - tmms_hysteresis_dispatch(const I& ima, const W& struct_element, - const mln_value(I)& c_min_low, const mln_value(I)& c_min_high, - const mln_value(I)& min_level, const mln_value(I)& med_level, - const mln_value(I)& max_level, - const int pourcent, mln::trait::image::speed::fastest) - { - return mln::binarization::impl::tmms_hysteresis_fastest(ima, - struct_element, c_min_low, c_min_high, - min_level, med_level, max_level, pourcent); - } - - template<typename I, typename W> - mln_concrete(I) - tmms_hysteresis_dispatch(const I& ima, const W& struct_element, - const mln_value(I)& c_min_low, const mln_value(I)& c_min_high, - const mln_value(I)& min_level, const mln_value(I)& med_level, - const mln_value(I)& max_level, - const int pourcent) - { - return tmms_hysteresis_dispatch(ima, - struct_element, c_min_low, c_min_high, - min_level, med_level, max_level, pourcent, - mln_trait_image_speed(I)() - ); - } - - } //end of namespace namespace mln::binarization::internal - template<typename I, typename W> mln_concrete(I) - tmms_hysteresis(const Image<I>& in_image_, const Window<W>& struct_element, - const mln_value(I)& c_min_low, const mln_value(I)& c_min_high, - const mln_value(I)& min_level, - const mln_value(I)& med_level, - const mln_value(I)& max_level, - const int pourcent) + tmms_hysteresis(const Image<I>& input_, const Window<W>& win_, + const mln_value(I)& c_min_low, const mln_value(I)& c_min_high, + const mln_value(I)& min_level, + const mln_value(I)& med_level, + const mln_value(I)& max_level, + const int pourcent) { - const I& ima = exact(in_image_); - const W& win = exact(struct_element); - return mln::binarization::internal::tmms_hysteresis_dispatch(ima, - win, c_min_low, c_min_high, - min_level, med_level, max_level, pourcent); + mln_trace("mln::binarization::tmms_hysteresis"); + + const I& input = exact(input_); + const W& win = exact(win_); + + mln_precondition(input.is_valid()); + mln_precondition(win.is_valid()); + + return internal::tmms_hysteresis_dispatch(input, win, + c_min_low, c_min_high, + min_level, med_level, + max_level, pourcent); } # endif // ! MLN_INCLUDE_ONLY @@ -327,4 +377,4 @@ namespace mln } // end of namespace mln -#endif // ! MLN_BINARIZATION_TMMS_HH +#endif // ! MLN_BINARIZATION_TMMS_HYSTERESIS_HH -- 1.7.2.5