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labeling/blobs.hh
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26 
27 #ifndef MLN_LABELING_BLOBS_HH
28 # define MLN_LABELING_BLOBS_HH
29 
38 
39 # include <mln/core/concept/image.hh>
40 # include <mln/core/concept/neighborhood.hh>
41 
42 # include <mln/canvas/labeling/blobs.hh>
43 
44 
45 namespace mln
46 {
47 
48  namespace labeling
49  {
50 
65  template <typename I, typename N, typename L>
66  mln_ch_value(I, L)
67  blobs(const Image<I>& input, const Neighborhood<N>& nbh,
68  L& nlabels);
69 
70 
71 # ifndef MLN_INCLUDE_ONLY
72 
73 
74  namespace internal
75  {
76 
79  template <typename L>
80  struct dummy_functor
81  {
82  void init() {}
83 
84  void new_label(const mln_value(L)&) {}
85 
86  void process_p(const mln_site(L)&) {}
87 
88  void process_n(const mln_site(L)&) {}
89 
90  void finalize() {}
91  };
92 
93  } // end of namespace mln::labeling::internal
94 
95 
96 
97  // Facade.
98 
99  template <typename I, typename N, typename L>
100  inline
101  mln_ch_value(I, L)
102  blobs(const Image<I>& input_, const Neighborhood<N>& nbh_,
103  L& nlabels)
104  {
105  trace::entering("labeling::blobs");
106  mlc_equal(mln_trait_image_kind(I),
107  mln::trait::image::kind::binary)::check();
108  const I& input = exact(input_);
109  const N& nbh = exact(nbh_);
110  mln_precondition(input.is_valid());
111 
112  typedef mln_ch_value(I,L) out_t;
113  internal::dummy_functor<out_t> functor;
114  out_t
115  output = canvas::labeling::blobs(input, nbh, nlabels, functor);
116 
117  trace::exiting("labeling::blobs");
118  return output;
119  }
120 
121 # endif // ! MLN_INCLUDE_ONLY
122 
123  } // end of namespace mln::labeling
124 
125 } // end of namespace mln
126 
127 
128 #endif // ! MLN_LABELING_BLOBS_HH