/******************************************************************** ** 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 : ICLQuick/src/QuickRegions.cpp ** ** Module : ICLQuick ** ** 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 namespace icl{ namespace { RegionDetector s_oRD; } ImgQ colormap(const ImgQ &image, float r, float g, float b){ // {{{ open ICLASSERT_RETURN_VAL(image.getChannels()==3,ImgQ()); ImgQ result = zeros(image.getWidth(),image.getHeight()); Channel32f rgb[]={image[0],image[2],image[2]}; Channel32f m = result[0]; for(int x=0;x centers(const ImgQ &image, int minSize, int maxSize, int minVal, int maxVal){ // {{{ open s_oRD.setConstraints(minSize,maxSize,minVal,maxVal); const vector & bd = s_oRD.detect(&image); vector result; for(unsigned int i=0;i boundingboxes(const ImgQ &image,int minSize, int maxSize, int minVal, int maxVal){ // {{{ open s_oRD.setConstraints(minSize,maxSize,minVal,maxVal); const vector & bd = s_oRD.detect(&image); vector result; for(unsigned int i=0;i > boundaries(const ImgQ &image, int minSize, int maxSize, int minVal, int maxVal){ // {{{ open s_oRD.setConstraints(minSize,maxSize,minVal,maxVal); const vector & bd = s_oRD.detect(&image); vector > result; for(unsigned int i=0;i boundarielengths(const ImgQ &image, int minSize, int maxSize, int minVal, int maxVal){ // {{{ open s_oRD.setConstraints(minSize,maxSize,minVal,maxVal); const vector & bd = s_oRD.detect(&image); vector result; for(unsigned int i=0;i pca(const ImgQ &image, int minSize, int maxSize, int minVal, int maxVal){ // {{{ open s_oRD.setConstraints(minSize,maxSize,minVal,maxVal); const vector & bd = s_oRD.detect(&image); vector result; for(unsigned int i=0;i formfactors(const ImgQ &image, int minSize, int maxSize, int minVal, int maxVal){ // {{{ open s_oRD.setConstraints(minSize,maxSize,minVal,maxVal); const vector & bd = s_oRD.detect(&image); vector result; for(unsigned int i=0;i > pixels(const ImgQ &image, int minSize, int maxSize, int minVal, int maxVal){ // {{{ open s_oRD.setConstraints(minSize,maxSize,minVal,maxVal); const vector & bd = s_oRD.detect(&image); vector >result; for(unsigned int i=0;i > linesegments(const ImgQ &image, int minSize, int maxSize, int minVal, int maxVal){ // {{{ open s_oRD.setConstraints(minSize,maxSize,minVal,maxVal); const vector & bd = s_oRD.detect(&image); vector > result; for(unsigned int i=0;i &pcainfos){ // {{{ open for(unsigned int i=0;i &scanlines){ // {{{ open for(unsigned int i=0;i > &scanlines){ // {{{ open for(unsigned int i=0;i