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log.cc

00001 // Copyright (C) 2007, 2008, 2009, 2010, 2011 EPITA Research and Development
00002 // Laboratory (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 #include <mln/core/image/image2d.hh>
00028 #include <mln/value/int_u8.hh>
00029 
00030 #include <mln/io/pgm/load.hh>
00031 #include <mln/io/pgm/save.hh>
00032 
00033 #include <mln/border/thickness.hh>
00034 #include <mln/linear/log.hh>
00035 
00036 #include <mln/estim/min_max.hh>
00037 #include <mln/data/stretch.hh>
00038 
00039 #include "tests/data.hh"
00040 
00041 
00042 int main()
00043 {
00044   using namespace mln;
00045   using value::int_u8;
00046 
00047   border::thickness = 2;
00048 
00049   image2d<int_u8> lena, out;
00050   io::pgm::load(lena, MLN_IMG_DIR "/lena.pgm");
00051 
00052   image2d<float> tmp = linear::LoG_5x5(lena);
00053   {
00054     float min, max;
00055     estim::min_max(tmp, min, max);
00056     mln_assertion(min == -925 && max == 1247);
00057   }
00058 
00059   out = data::stretch(int_u8(), tmp);
00060   io::pgm::save(out, "log-out.pgm");
00061   {
00062     int_u8 min, max;
00063     estim::min_max(out, min, max);
00064     mln_assertion(min == 0u && max == 255u);
00065   }
00066 }

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