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threshold.hh
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26 
27 #ifndef MLN_BINARIZATION_THRESHOLD_HH
28 # define MLN_BINARIZATION_THRESHOLD_HH
29 
33 
34 # include <mln/binarization/binarization.hh>
35 # include <mln/fun/v2b/threshold_ge.hh>
36 
37 
38 namespace mln
39 {
40 
41  namespace binarization
42  {
43 
56  template <typename I>
57  mln_ch_value(I, bool)
58  threshold(const Image<I>& input, const mln_value(I) threshold);
59 
60 
61 # ifndef MLN_INCLUDE_ONLY
62 
63  template <typename I>
64  inline
65  mln_ch_value(I, bool)
66  threshold(const Image<I>& input, const mln_value(I) threshold_value)
67  {
68  mln_trace("binarization::threshold");
69 
70  mln_precondition(exact(input).is_valid());
71  mlc_is(mln_trait_value_nature(mln_value(I)),
72  trait::value::nature::scalar)::check();
73 
74  mln_ch_value(I, bool) output(exact(input).domain());
75 
76  // FIXME : threshold value should be a percentage.
77  fun::v2b::threshold_ge< mln_value(I) > f(threshold_value);
78 
79  output = mln::binarization::binarization(exact(input), f);
80 
81  return output;
82  }
83 
84 # endif // ! MLN_INCLUDE_ONLY
85 
86  } // end of namespace mln::binarization
87 
88 } // end of namespace mln
89 
90 
91 #endif // ! MLN_BINARIZATION_THRESHOLD_HH