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subsampling.hh

00001 // Copyright (C) 2008, 2009 EPITA Research and Development Laboratory
00002 // (LRDE)
00003 //
00004 // This file is part of Olena.
00005 //
00006 // Olena is free software: you can redistribute it and/or modify it under
00007 // the terms of the GNU General Public License as published by the Free
00008 // Software Foundation, version 2 of the License.
00009 //
00010 // Olena is distributed in the hope that it will be useful,
00011 // but WITHOUT ANY WARRANTY; without even the implied warranty of
00012 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
00013 // General Public License for more details.
00014 //
00015 // You should have received a copy of the GNU General Public License
00016 // along with Olena.  If not, see <http://www.gnu.org/licenses/>.
00017 //
00018 // As a special exception, you may use this file as part of a free
00019 // software project without restriction.  Specifically, if other files
00020 // instantiate templates or use macros or inline functions from this
00021 // file, or you compile this file and link it with other files to produce
00022 // an executable, this file does not by itself cause the resulting
00023 // executable to be covered by the GNU General Public License.  This
00024 // exception does not however invalidate any other reasons why the
00025 // executable file might be covered by the GNU General Public License.
00026 
00027 #ifndef MLN_SUBSAMPLING_SUBSAMPLING_HH
00028 # define MLN_SUBSAMPLING_SUBSAMPLING_HH
00029 
00033 
00034 # include <mln/geom/ncols.hh>
00035 # include <mln/geom/nrows.hh>
00036 
00037 
00038 namespace mln
00039 {
00040 
00041   namespace subsampling
00042   {
00043 
00045     template <typename I>
00046     inline
00047     mln_concrete(I)
00048     subsampling(const Image<I>& input,
00049                 const mln_deduce(I, site, delta)& first_p,
00050                 const mln_deduce(I, site, coord)& gap);
00051 
00052 # ifndef MLN_INCLUDE_ONLY
00053 
00054     namespace impl
00055     {
00056 
00057       //FIXME : add version for every image types.
00058 
00059       template <typename T>
00060       inline
00061       mln_concrete(image2d<T>)
00062       subsampling_(const image2d<T>& input,
00063                    const mln_deduce(image2d<T>, site, delta)& first_p,
00064                    const mln_deduce(image2d<T>, site, coord)& gap)
00065       {
00066         trace::entering("subsampling::impl::subsampling_");
00067         mln_concrete(image2d<T>) output(geom::nrows(input) / gap,
00068                                geom::ncols(input) / gap);
00069 
00070         for (def::coord j = geom::min_col(output);
00071              j <= geom::max_col(output); ++j)
00072           for (def::coord i = geom::min_row(output);
00073                i <= geom::max_row(output); ++i)
00074             {
00075               point2d p1(i, j);
00076               point2d p2(first_p[0] + i * gap, first_p[1] + j * gap);
00077 
00078               output(p1) = input(p2);
00079             }
00080 
00081         trace::exiting("subsampling::impl::subsampling_");
00082         return output;
00083       }
00084 
00085     } // end of namespace mln::subsampling::impl
00086 
00087 
00088     template <typename I>
00089     inline
00090     mln_concrete(I)
00091     subsampling(const Image<I>& input,
00092                 const mln_deduce(I, site, delta)& first_p,
00093                 const mln_deduce(I, site, coord)& gap)
00094     {
00095       trace::entering("subsampling::subsampling");
00096       mln_precondition(exact(input).is_valid());
00097 
00098       mln_concrete(I) output(geom::nrows(input) / gap,
00099                              geom::ncols(input) / gap); // FIXME: only 2d here
00100 
00101       output = impl::subsampling_(exact(input), first_p, gap);
00102 
00103       trace::exiting("subsampling::subsampling");
00104       return output;
00105     }
00106 
00107 # endif // ! MLN_INCLUDE_ONLY
00108 
00109   } // end of namespace mln::subsampling
00110 
00111 } // end of namespace mln
00112 
00113 
00114 #endif // ! MLN_SUBSAMPLING_SUBSAMPLING_HH

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