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00026 #include <mln/core/image/image2d.hh>
00027 #include <mln/core/alias/neighb2d.hh>
00028 #include <mln/value/int_u8.hh>
00029 #include <mln/value/label_8.hh>
00030
00031 #include <mln/labeling/flat_zones.hh>
00032 #include <mln/labeling/compute.hh>
00033 #include <mln/labeling/n_max.hh>
00034
00035 #include <mln/fun/v2b/threshold.hh>
00036 #include <mln/data/transform.hh>
00037
00038 #include <mln/accu/math/count.hh>
00039
00040 #include <mln/io/pgm/all.hh>
00041
00042 #include "tests/data.hh"
00043
00044 int main()
00045 {
00046 using namespace mln;
00047 using value::int_u8;
00048 using value::label_8;
00049
00050 image2d<int_u8> lena = io::pgm::load<int_u8>(MLN_IMG_DIR "/tiny.pgm");
00051
00052 image2d<bool> threshold = data::transform(lena, fun::v2b::threshold<int_u8>(100));
00053 label_8 nlabels;
00054 image2d<label_8> labels = labeling::flat_zones(threshold, c4(), nlabels);
00055 accu::math::count<int_u8> a_;
00056
00057 util::array<unsigned> a = labeling::compute(a_, threshold, labels, nlabels);
00058 util::array<label_8> arr_big = labeling::n_max<label_8>(a, 3);
00059
00060 mln_assertion(arr_big[1] == 1u);
00061 mln_assertion(arr_big[2] == 4u);
00062 mln_assertion(arr_big[3] == 5u);
00063 }