/******************************************************************** ** Image Component Library (ICL) ** ** ** ** Copyright (C) 2006-2010 CITEC, University of Bielefeld ** ** Neuroinformatics Group ** ** Website: www.iclcv.org and ** ** http://opensource.cit-ec.de/projects/icl ** ** ** ** File : ICLFilter/examples/weighted-sum-op-test.cpp ** ** Module : ICLFilter ** ** Authors: Christof Elbrechter, Andre Justus ** ** ** ** ** ** 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 using namespace icl; using namespace std; void apply_weighted_sum(WeightedSumOp &wo, ImgBase *&src, ImgBase **&dst){ BENCHMARK_THIS_FUNCTION; wo.apply(src,dst); } int main() { ImgBase *src = new Img64f(Size(1000,1000),3); // ImgBase *src = TestImages::create("parrot",formatRGB,depth8u); ImgBase *dst = 0; ImgBase **ppoDst = &dst; vector w(src->getChannels()); for(int i=0;igetChannels();i++){ w[i] = random(double(1)); } WeightedSumOp wo(w); for(int i=0;i<100;i++){ apply_weighted_sum(wo,src,ppoDst); } return 0; }