/******************************************************************** ** 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/WeightedSumOp.cpp ** ** Module : ICLFilter ** ** Authors: Christof Elbrechter, Robert Haschke, Andre Justus ** ** ** ** ** ** 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 using namespace icl::utils; using namespace icl::core; namespace icl { namespace filter{ using namespace std; // {{{ C++ fallback namespace{ template void apply_ws(const Img *src, Img *dst, const vector& weights) { const ImgIterator itSrc = src->beginROI(0); const ImgIterator itSrcEnd = src->endROI(0); ImgIterator itDst = dst->beginROI(0); D w = weights[0]; for(;itSrc != itSrcEnd; ++itSrc, ++itDst){ *itDst = *itSrc * w; } for (int c=src->getChannels()-1; c > 0; c--) { w = weights[c]; const ImgIterator itSrc = src->beginROI(c); const ImgIterator itSrcEnd = src->endROI(c); ImgIterator itDst = dst->beginROI(0); for(;itSrc!=itSrcEnd; ++itSrc, ++itDst){ *itDst += *itSrc * w; } } } } // }}} void WeightedSumOp::apply (const ImgBase *poSrc, ImgBase **ppoDst){ ICLASSERT_RETURN(poSrc); ICLASSERT_RETURN(ppoDst); ICLASSERT_RETURN( *ppoDst != poSrc ); ICLASSERT_RETURN( (int)m_vecWeights.size() == poSrc->getChannels() ); if(!prepare(ppoDst, poSrc->getDepth() == depth64f ? depth64f : depth32f, getClipToROI() ? poSrc->getROISize() : poSrc->getSize(), formatMatrix,1,getClipToROI() ? Rect(Point::null,poSrc->getROISize()) : poSrc->getROI(), poSrc->getTime()) ) return; if((*ppoDst)->getDepth() == depth64f){ switch (poSrc->getDepth()) { #define ICL_INSTANTIATE_DEPTH(D) case depth##D: apply_ws(poSrc->asImg(),(*ppoDst)->asImg(),m_vecWeights); break; ICL_INSTANTIATE_ALL_DEPTHS; #undef ICL_INSTANTIATE_DEPTH } }else{ vector v(m_vecWeights.size()); for(unsigned int i=0;igetDepth()) { #define ICL_INSTANTIATE_DEPTH(D) case depth##D: apply_ws(poSrc->asImg(),(*ppoDst)->asImg(),v); break; ICL_INSTANTIATE_ALL_DEPTHS; #undef ICL_INSTANTIATE_DEPTH } } } } // namespace filter }