00001 
00002 
00003 
00004 
00005 
00006 
00007 
00008 
00009 
00010 
00011 
00012 
00013 
00014 
00015 
00016 
00017 
00018 
00019 
00020 
00021 
00022 
00023 
00024 
00025 
00026 #ifndef MLN_TRANSFORM_DISTANCE_FRONT_HH
00027 # define MLN_TRANSFORM_DISTANCE_FRONT_HH
00028 
00032 
00033 # include <mln/canvas/distance_front.hh>
00034 # include <mln/transform/internal/distance_functor.hh>
00035 
00036 
00037 
00038 namespace mln
00039 {
00040 
00041   namespace transform
00042   {
00043 
00045     template <typename I, typename N, typename W, typename D>
00046     mln_ch_value(I, D)
00047     distance_front(const Image<I>& input,
00048                    const Neighborhood<N>& nbh, const Weighted_Window<W>& w_win, D max);
00049 
00050 
00051 # ifndef MLN_INCLUDE_ONLY
00052 
00053     template <typename I, typename N, typename W, typename D>
00054     inline
00055     mln_ch_value(I, D)
00056     distance_front(const Image<I>& input,
00057                    const Neighborhood<N>& nbh, const Weighted_Window<W>& w_win, D max)
00058     {
00059       trace::entering("transform::distance_front");
00060 
00061       mln_precondition(exact(input).is_valid());
00062       mln_precondition(exact(nbh).is_valid());
00063       mln_precondition(exact(w_win).is_valid());
00064 
00065       mln_ch_value(I, D) output;
00066       internal::distance_functor<I> f;
00067       output = mln::canvas::distance_front(input, nbh, w_win, max, f);
00068 
00069       trace::exiting("transform::distance_front");
00070       return output;
00071     }
00072 
00073 # endif // ! MLN_INCLUDE_ONLY
00074 
00075   } 
00076 
00077 } 
00078 
00079 
00080 #endif // ! MLN_TRANSFORM_DISTANCE_FRONT_HH