[Olena-patches] proto-1.0 456: Add sample for real time segmentation.

https://svn/svn/oln/prototypes/proto-1.0/olena Index: ChangeLog from Nicolas Widynski &lt;nicolas.widynski(a)lrde.epita.fr&gt; Add sample for real time segmentation. * oln/appli/snakes/snakes.cc: New. Real time segmentation using snakes and watersnakes. snakes.cc | 227 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 227 insertions(+) Index: oln/appli/snakes/snakes.cc --- oln/appli/snakes/snakes.cc (revision 0) +++ oln/appli/snakes/snakes.cc (revision 0) @@ -0,0 +1,227 @@ +#include <oln/basics2d.hh> +#include <ntg/all.hh> +#include <oln/morpho/watersnakes.hh> +#include <oln/level/fill.hh> +#include <oln/appli/snakes/snakes.hh> + +#define my_abs(u) ((u) > 0 ? (u) : (-(u))) + +using ntg::int_u8; + +template <typename T> +void aff_points(const oln::image2d<T>& input, + const std::vector<oln::point2d>& v, + oln::image2d<T>& out) +{ + oln_iter_type(oln::image2d<T>) p(input); + oln::image2d<bool> mask(input.size()); + + for_all(p) + mask[p] = false; + + std::vector<oln::point2d>::const_iterator it = v.begin(); + for (; it != v.end(); it++) + mask[*it] = true; + + for_all(p) + { + if (mask[p] == true) + out[p] = 255; + else + out[p] = input[p]; + } +} + +template <typename T> +void aff_droites(const oln::image2d<T>& input, + const std::vector<oln::point2d>& v, + oln::image2d<T>& out) +{ + oln_iter_type(oln::image2d<T>) p(input); + oln::image2d<bool> mask(input.size()); + + for_all(p) + mask[p] = false; + + std::vector<oln::point2d>::const_iterator it = v.begin(); + for (; it + 1!= v.end(); it++) + { + std::vector<oln::point2d> vec = oln::snakes::impl::draw_line_(*it, *(it+1)); + std::vector<oln::point2d>::const_iterator it2 = vec.begin(); + + for (; it2 != vec.end(); it2++) + mask[*it2] = true; + } + + for_all(p) + { + if (mask[p] == true) + out[p] = 255; + else + out[p] = input[p]; + } +} + + + +bool nearly_equal(int x1, int x2, int y1, int y2) +{ + return (my_abs(x1 - x2) < 5 and my_abs(y1 - y2) < 5); +} + +template <typename T> +std::vector<oln::point2d> tri_vec(const oln::image2d<T>& ima, + const std::vector<oln::point2d>& v) +{ + std::vector<oln::point2d> res; + std::vector<oln::point2d>::const_iterator it; + std::vector<oln::point2d>::iterator it2; + + int ex_1_x = -100; + int ex_1_y = -100; + int ex_2_x = 0; + int ex_2_y = 0; + int save_x = -1; + int save_y = -1; + + + for (int i = 0; i < 2; i++) + { + double min = 100000000; + + for (it = v.begin(); it != v.end(); it++) + { + if (i and nearly_equal((*it).row(), ex_1_x, (*it).col(), ex_1_y)) + continue; + + double tmp1 = oln::snakes::impl::euclidian_distance((*it).row(), 0, 0, 0); + double tmp2 = oln::snakes::impl::euclidian_distance((*it).row(), ima.nrows(), 0, 0); + double tmp3 = oln::snakes::impl::euclidian_distance(0, 0, (*it).col(), 0); + double tmp4 = oln::snakes::impl::euclidian_distance(0, 0, (*it).col(), ima.ncols()); + + double tmp_min; + + if (tmp1 <= tmp2 and tmp1 <= tmp3 and tmp1 <= tmp4) + tmp_min = tmp1; + if (tmp2 <= tmp1 and tmp2 <= tmp3 and tmp2 <= tmp4) + tmp_min = tmp2; + if (tmp3 <= tmp1 and tmp3 <= tmp2 and tmp3 <= tmp4) + tmp_min = tmp3; + if (tmp4 <= tmp1 and tmp4 <= tmp2 and tmp4 <= tmp3) + tmp_min = tmp4; + + if (tmp_min < min) + { + min = tmp_min; + save_x = (*it).row(); + save_y = (*it).col(); + } + } + if (not i) + { + ex_1_x = save_x; + ex_1_y = save_y; + } + else + { + ex_2_x = save_x; + ex_2_y = save_y; + } + } + + res.push_back(oln::point2d(ex_1_x, ex_1_y)); + + std::vector<oln::point2d> tmp; + for (it = v.begin(); it != v.end(); it++) + if (((*it).row() != ex_1_x or (*it).col() != ex_1_y) and + ((*it).row() != ex_2_x or (*it).col() != ex_2_y)) + tmp.push_back(*it); + + + bool stop = false; + + int tmp_x = ex_1_x; + int tmp_y = ex_1_y; + + while (stop == false) + { + if (tmp.size() > 1) + { + double min = 10000000; + oln::point2d p; + std::vector<oln::point2d>::iterator p_ref; + for (it2 = tmp.begin(); it2 != tmp.end(); it2++) + { + double tmp_d = oln::snakes::impl::euclidian_distance((*it2).row(), tmp_x, (*it2).col(), tmp_y); + if (tmp_d < min) + { + min = tmp_d; + p = *it2; + p_ref = it2; + } + } + res.push_back(p); + tmp.erase(p_ref); + tmp_x = p.row(); + tmp_y = p.col(); + } + else + { + res.push_back(oln::point2d(tmp.front().row(), tmp.front().col())); + stop = true; + } + } + + res.push_back(oln::point2d(ex_2_x, ex_2_y)); + return res; +} + + +int main(int argc, char **argv) +{ + using namespace oln; + + if (argc < 10) + { + std::cout << "Usage : ./cmd force_type(0: grad, 1: variance) fen nb_gen lamda dmax snake_type(0:ferme, 1:ouvert) max_pts image_bool images(1+) " << std::endl; + exit(1); + } + + std::vector<oln::point2d> v; + unsigned max_pts = (unsigned)atoi(argv[7]); + + oln::image2d<ntg::bin> mask = load(argv[8]); + oln::image2d<int_u8> input1 = load(argv[9]); + + v = morpho::watersnakes(input1, mask, win_c8p(), 5); + + v = tri_vec(input1, v); + + if (max_pts) + v = oln::snakes::impl::redispatch(v, max_pts); + + for (int i = 9; i < argc; i++) + { + std::cout << i - 8 << " / " << argc - 9 << std::endl; + + oln::image2d<int_u8> input; + input = load(argv[i]); + oln::image2d<int_u8> out(input.size()); + unsigned nb_gen = 0; + + if (i == 9) + nb_gen = (unsigned)atoi(argv[3]); + else + nb_gen = 1; + + v = oln::snakes::snakes(input, v, (force_type)(atoi(argv[1])), (unsigned)atoi(argv[2]), nb_gen, max_pts, atof(argv[4]), (unsigned)atoi(argv[5]), (snake_type)atoi(argv[6])); + + aff_droites(input, v, out); + // aff_points(input, v, out); + + char t[30]; + sprintf(t, "snakes_%d.pgm", i - 8); + + save(out, t); + } +}