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00026 #ifndef MLN_LABELING_VALUE_HH
00027 # define MLN_LABELING_VALUE_HH
00028
00032
00033 # include <mln/core/concept/image.hh>
00034 # include <mln/core/concept/neighborhood.hh>
00035 # include <mln/canvas/labeling.hh>
00036 # include <mln/data/fill.hh>
00037
00038
00039
00040 namespace mln
00041 {
00042
00043 namespace labeling
00044 {
00045
00054
00055 template <typename I, typename N, typename L>
00056 mln_ch_value(I, L)
00057 value(const Image<I>& input, const mln_value(I)& val,
00058 const Neighborhood<N>& nbh, L& nlabels);
00059
00060
00061 # ifndef MLN_INCLUDE_ONLY
00062
00063
00064
00065
00066 namespace internal
00067 {
00068
00069 template <typename I, typename N, typename L>
00070 void
00071 value_tests(const Image<I>& input, const mln_value(I)& val, const Neighborhood<N>& nbh,
00072 L& nlabels)
00073 {
00074 mln_precondition(exact(input).is_valid());
00075
00076
00077 (void) input;
00078 (void) val;
00079 (void) nbh;
00080 (void) nlabels;
00081 }
00082
00083 }
00084
00085
00086
00087 namespace impl
00088 {
00089
00090
00091
00092 template <typename I>
00093 struct value_functor
00094 {
00095 typedef mln_psite(I) P;
00096
00097 const I& input;
00098 const mln_value(I)& val;
00099
00100
00101
00102 typedef mln_domain(I) S;
00103
00104
00105
00106 void init() {}
00107 bool handles(const P& p) const { return input(p) == val; }
00108 bool equiv(const P& n, const P&) const { return input(n) == val; }
00109 bool labels(const P&) const { return true; }
00110 void do_no_union(const P&, const P&) {}
00111 void init_attr(const P&) {}
00112 void merge_attr(const P&, const P&) {}
00113
00114
00115
00116 void init_() {}
00117 bool handles_(unsigned p) const { return input.element(p) == val; }
00118 bool equiv_(unsigned n, unsigned) const { return input.element(n) == val; }
00119 bool labels_(unsigned) const { return true; }
00120 void do_no_union_(unsigned, unsigned) {}
00121 void init_attr_(unsigned) {}
00122 void merge_attr_(unsigned, unsigned) {}
00123
00124
00125
00126 value_functor(const Image<I>& input_, const mln_value(I)& val)
00127 : input(exact(input_)),
00128 val(val)
00129 {
00130 }
00131 };
00132
00133 }
00134
00135
00136
00137
00138
00139
00140 template <typename I, typename N, typename L>
00141 mln_ch_value(I, L)
00142 value(const Image<I>& input, const mln_value(I)& val, const Neighborhood<N>& nbh,
00143 L& nlabels)
00144 {
00145 trace::entering("labeling::value");
00146
00147 internal::value_tests(input, val, nbh, nlabels);
00148
00149 mln_ch_value(I, L) output;
00150 impl::value_functor<I> f(input, val);
00151 output = canvas::labeling_video(input, nbh, nlabels, f);
00152
00153 trace::exiting("labeling::value");
00154 return output;
00155 }
00156
00157 # endif // ! MLN_INCLUDE_ONLY
00158
00159 }
00160
00161 }
00162
00163
00164 #endif // ! MLN_LABELING_VALUE_HH