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00027 #ifndef MLN_LABELING_REGIONAL_MINIMA_HH
00028 # define MLN_LABELING_REGIONAL_MINIMA_HH
00029 
00033 
00034 # include <mln/core/concept/image.hh>
00035 # include <mln/core/concept/neighborhood.hh>
00036 # include <mln/canvas/labeling/sorted.hh>
00037 # include <mln/data/fill.hh>
00038 # include <mln/data/sort_psites.hh>
00039 
00040 
00041 namespace mln
00042 {
00043 
00044   namespace labeling
00045   {
00046 
00056     template <typename I, typename N, typename L>
00057     mln_ch_value(I, L)
00058     regional_minima(const Image<I>& input, const Neighborhood<N>& nbh,
00059                     L& nlabels);
00060 
00061 
00062 # ifndef MLN_INCLUDE_ONLY
00063 
00064     namespace impl
00065     {
00066 
00067       
00068 
00069       template <typename I>
00070       struct regional_minima_functor
00071       {
00072         typedef mln_psite(I) P;
00073 
00074         
00075 
00076         const I& input;
00077 
00078         
00079 
00080         void init()                              { data::fill(attr, true); }
00081         bool handles(const P&) const             { return true; }
00082         bool labels(const P& p) const            { return attr(p); }
00083         bool equiv(const P& n, const P& p) const { return input(n) ==
00084                                                           input(p); }
00085         void do_no_union(const P& n, const P& p)
00086         {
00087           
00088           
00089           (void)n;
00090 
00091           mln_invariant(input(n) < input(p));
00092           attr(p) = false;
00093         }
00094 
00095         void init_attr(const P&)                 {}
00096         void merge_attr(const P& r, const P& p)  { attr(p) = attr(p) &&
00097                                                    attr(r); }
00098 
00099         
00100 
00101         void init_()                              { data::fill(attr, true); }
00102         bool handles_(unsigned) const             { return true; }
00103         bool labels_(unsigned p) const            { return attr.element(p); }
00104         bool equiv_(unsigned n, unsigned p) const { return input.element(n) ==
00105                                                            input.element(p); }
00106         void do_no_union_(unsigned n, unsigned p)
00107         {
00108           
00109           
00110           (void)n;
00111 
00112           mln_invariant(input.element(n) < input.element(p));
00113           attr.element(p) = false;
00114         }
00115 
00116         void init_attr_(unsigned)                 {}
00117         void merge_attr_(unsigned r, unsigned p)  { attr.element(p) = attr.element(p) &&
00118                                                    attr.element(r); }
00119 
00120         
00121 
00122         mln_ch_value(I, bool) attr;
00123 
00124         regional_minima_functor(const I& input)
00125           : input(input)
00126         {
00127           initialize(attr, input);
00128         }
00129       };
00130 
00131 
00132     } 
00133 
00134 
00135 
00136     
00137 
00138     template <typename I, typename N, typename L>
00139     mln_ch_value(I, L)
00140     regional_minima(const Image<I>& input_, const Neighborhood<N>& nbh_,
00141                     L& nlabels)
00142     {
00143       trace::entering("labeling::regional_minima");
00144 
00145       const I& input = exact(input_);
00146       const N& nbh = exact(nbh_);
00147       mln_precondition(input.is_valid());
00148 
00149       
00150       
00151 
00152       typedef impl::regional_minima_functor<I> F;
00153       F f(exact(input));
00154       mln_ch_value(I, L)
00155         output = canvas::labeling::sorted(input, nbh, nlabels, f, false);
00156 
00157       trace::exiting("labeling::regional_minima");
00158       return output;
00159     }
00160 
00161 # endif // ! MLN_INCLUDE_ONLY
00162 
00163   } 
00164 
00165 } 
00166 
00167 
00168 #endif // ! MLN_LABELING_REGIONAL_MINIMA_HH