/******************************************************************** ** Image Component Library (ICL) ** ** ** ** Copyright (C) 2006-2012 CITEC, University of Bielefeld ** ** Neuroinformatics Group ** ** Website: www.iclcv.org and ** ** http://opensource.cit-ec.de/projects/icl ** ** ** ** File : ICLFilter/examples/weight-channels-op-test.cpp ** ** Module : ICLFilter ** ** Authors: Christof Elbrechter ** ** ** ** ** ** Commercial License ** ** ICL can be used commercially, please refer to our website ** ** www.iclcv.org for more details. ** ** ** ** GNU General Public License Usage ** ** Alternatively, this file may be used under the terms of the ** ** GNU General Public License version 3.0 as published by the ** ** Free Software Foundation and appearing in the file LICENSE.GPL ** ** included in the packaging of this file. Please review the ** ** following information to ensure the GNU General Public License ** ** version 3.0 requirements will be met: ** ** http://www.gnu.org/copyleft/gpl.html. ** ** ** ** The development of this software was supported by the ** ** Excellence Cluster EXC 277 Cognitive Interaction Technology. ** ** The Excellence Cluster EXC 277 is a grant of the Deutsche ** ** Forschungsgemeinschaft (DFG) in the context of the German ** ** Excellence Initiative. ** ** ** *********************************************************************/ #include #include #include #include #include void apply_weighted_channel(WeightChannelsOp &wc, ImgBase &src, ImgBase **dst){ BENCHMARK_THIS_FUNCTION; wc.apply(&src,dst); } int main() { ImgQ src = create("parrot"); ImgBase *dst = 0; vector w(3); for(int i=0;i<3;i++){ w[i] = random(double(0.1), double(1)); } WeightChannelsOp wc(w); for(int i=0;i<100;i++){ apply_weighted_channel(wc,src,&dst); } show(scale(cvt(dst),0.4)); }