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denoise_fg.hh
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26 
27 #ifndef SCRIBO_PREPROCESSING_DENOISE_FG_HH
28 # define SCRIBO_PREPROCESSING_DENOISE_FG_HH
29 
33 
34 # include <mln/core/image/image2d.hh>
35 # include <mln/core/concept/neighborhood.hh>
36 # include <mln/core/concept/function.hh>
37 
38 # include <mln/accu/math/count.hh>
39 
40 # include <mln/core/alias/neighb2d.hh>
41 
42 # include <mln/util/array.hh>
43 # include <mln/fun/i2v/array.hh>
44 
45 # include <mln/data/transform.hh>
46 
47 # include <mln/labeling/compute.hh>
48 # include <mln/labeling/foreground.hh>
49 
50 # include <scribo/fun/v2b/label_to_bool.hh>
51 
52 namespace scribo
53 {
54 
55  namespace preprocessing
56  {
57 
58  using namespace mln;
59 
71  //
72  template <typename I, typename N>
73  mln_concrete(I)
74  denoise_fg(const Image<I>& input, const Neighborhood<N>& nbh,
75  unsigned min_card);
76 
77 
78 # ifndef MLN_INCLUDE_ONLY
79 
80 
81  template <typename I, typename N>
82  mln_concrete(I)
83  denoise_fg(const Image<I>& input_, const Neighborhood<N>& nbh_,
84  unsigned min_card)
85  {
86  mln_trace("scribo::preprocessing::denoise_fg");
87 
88  const I& input = exact(input_);
89  const N& nbh = exact(nbh_);
90  mlc_equal(mln_value(I), bool)::check();
91  mln_precondition(input.is_valid());
92 
93  unsigned nlabels;
94  image2d<unsigned> lbl = labeling::foreground(input, nbh, nlabels);
95 
97  result = labeling::compute(accu::meta::math::count(), lbl, nlabels);
98 
99  mln::fun::i2v::array<bool> f(nlabels + 1, true);
100  f(0) = false;
101  for (unsigned i = 1; i <= nlabels; ++i)
102  if (result(i) < min_card)
103  f(i) = false;
104 
106  mln_concrete(I)
107  output = data::transform(lbl, relabel_f);
108 
109  return output;
110  }
111 
112 # endif // ! MLN_INCLUDE_ONLY
113 
114  } // end of namespace scribo::preprocessing
115 
116 } // end of namespace scribo
117 
118 # endif // SCRIBO_PREPROCESSING_DENOISE_FG_HH