[Olena-patches] r2619: Work on ICCVG04 classification method

URL: https://svn.lrde.epita.fr/svn/oln/branches/cleanup-2008/milena/sandbox ChangeLog: 2008-10-21 Ugo Jardonnet &lt;ugo.jardonnet(a)lrde.epita.fr&gt; Work on ICCVG04 classification method * iccvg04.cc: Add a general display function for 3d images. iccvg04.cc | 59 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 57 insertions(+), 2 deletions(-) Index: branches/cleanup-2008/milena/sandbox/classif/iccvg04.cc =================================================================== --- branches/cleanup-2008/milena/sandbox/classif/iccvg04.cc (revision 2618) +++ branches/cleanup-2008/milena/sandbox/classif/iccvg04.cc (revision 2619) @@ -11,6 +11,8 @@ #include <mln/arith/revert.hh> #include <mln/morpho/meyer_wst.hh> #include <mln/core/alias/neighb3d.hh> +#include <mln/util/array.hh> +#include <mln/labeling/compute.hh> // FIXME: !? #include <mln/geom/all.hh> @@ -19,6 +21,10 @@ #include <mln/io/pgm/save.hh> +#include <sys/stat.h> +#include <sstream> + + using namespace mln; unsigned max = 0; @@ -52,6 +58,33 @@ } template <typename I> +void display(const I& ima, const char * dir) +{ + mkdir(dir, 0777); + chdir(dir); + + for (int s = 0; s < geom::nslis(ima); ++s) + { + image2d< mln_value(I) > out(geom::nrows(ima), geom::ncols(ima)); + // image2d< value::int_u8 > out(geom::nrows(ima), geom::ncols(ima)); + for (int r = 0; r < geom::nrows(ima); ++r) + { + for (int c = 0; c < geom::ncols(ima); ++c) + { + out(point2d(r, c)) = ima(point3d(s, r, c)); + } + } + + std::ostringstream is; + is << "out_" << s << ".ppm"; + + io::pgm::save(out, is.str()); + } + + chdir(".."); +} + +template <typename I> void display_proj_revert(const I& histo, const char * s) { image2d< unsigned long long > proj_histo(geom::nrows(histo),geom::ncols(histo)); @@ -133,6 +166,24 @@ return res; } +template <typename I, typename J, typename K> +mln_ch_value(I, value::int_u8) donne_tout(const I& ima, const J& histo, const K& ws, int nbasins) +{ + image2d<value::rgb8> out(ima.domain()); + + typedef mln::accu::mean<mln_value(J)> accu_t; + + accu_t acu; + + util::array<mln_result(accu_t)> tmp = labeling::compute(acu, histo, ws, nbasins); + + /*mln_piter(I) p(ima.domain()); + + for_all(p) + { + }*/ +} + int main(int argc, char **argv) { image2d<value::rgb8> ima; @@ -140,14 +191,16 @@ //make histo image3d<unsigned> histo = fill_histo(ima); - image3d<value::int_u8> nhisto = normalizeu8(histo); + //display(nhisto, "histo"); + //revert histo image3d<value::int_u8> rhisto = arith::revert(nhisto); + //display(rhisto, "rhisto"); //compute closing_area of histo - image3d<unsigned> histo_closure(histo.domain()); + image3d<value::int_u8> histo_closure(histo.domain()); morpho::closing_area(rhisto, c6(), 420, histo_closure); //display_proj_revert(histo_closure, "chisto.ppm"); @@ -156,7 +209,9 @@ value::int_u16 nbasins; image3d<value::int_u16> ws = morpho::meyer_wst(histo_closure, c6(), nbasins); + display(ws, "ws"); display_proj_revert(ws, "whisto.ppm"); //gplot(ws); + //donne_tout(ima, histo_closure, ws, nbasins); }