00001 // Copyright (C) 2007, 2008, 2009, 2010 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 #include <mln/value/int_u_sat.hh> 00030 00031 #include <mln/io/pgm/load.hh> 00032 #include <mln/io/pgm/save.hh> 00033 00034 #include <mln/data/transform.hh> 00035 #include <mln/data/paste.hh> 00036 #include <mln/math/round.hh> 00037 00038 #include <mln/linear/gaussian.hh> 00039 00040 #include "tests/data.hh" 00041 00042 #include <mln/trace/all.hh> 00043 00044 00045 00046 int main() 00047 { 00048 using namespace mln; 00049 00050 image2d<value::int_u8> lena; 00051 io::pgm::load(lena, MLN_IMG_DIR "/lena.pgm"); 00052 00053 image2d<value::int_u8> out = linear::gaussian(lena, 5.1f); 00054 io::pgm::save(out, "gaussian-out.pgm"); 00055 00056 00057 image2d<float> lenaf(lena.domain()); 00058 data::paste(lena, lenaf); 00059 00060 image2d<float> outf = linear::gaussian(lenaf, 5.1f); 00061 }