/******************************************************************** ** Image Component Library (ICL) ** ** ** ** Copyright (C) 2006-2013 CITEC, University of Bielefeld ** ** Neuroinformatics Group ** ** Website: www.iclcv.org and ** ** http://opensource.cit-ec.de/projects/icl ** ** ** ** File : ICLFilter/src/ICLFilter/WeightChannelsOp.cpp ** ** Module : ICLFilter ** ** Authors: Christof Elbrechter ** ** ** ** ** ** GNU LESSER GENERAL PUBLIC LICENSE ** ** This file may be used under the terms of the GNU Lesser General ** ** Public License version 3.0 as published by the ** ** ** ** Free Software Foundation and appearing in the file LICENSE.LGPL ** ** included in the packaging of this file. Please review the ** ** following information to ensure the license requirements will ** ** be met: http://www.gnu.org/licenses/lgpl-3.0.txt ** ** ** ** 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 using namespace icl::core; namespace icl { namespace filter{ using namespace std; void WeightChannelsOp::apply (const ImgBase *poSrc, ImgBase **ppoDst) { ICLASSERT_RETURN(poSrc); ICLASSERT_RETURN( (int) m_vecWeights.size() == poSrc->getChannels() ); const ImgBase *oTmpSrcImg; ImgBase *oTmpDstImg; if(!UnaryOp::prepare(ppoDst,poSrc)) return; UnaryArithmeticalOp op = UnaryArithmeticalOp(UnaryArithmeticalOp::mulOp); for (int c=0;cgetChannels();c++) { oTmpSrcImg = poSrc->selectChannel(c); oTmpDstImg = (*ppoDst)->selectChannel(c); op.setValue(m_vecWeights[c]); op.apply(oTmpSrcImg, &oTmpDstImg); delete oTmpSrcImg; delete oTmpDstImg; } } } // namespace filter } // namespace icl