/******************************************************************** ** 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/skin-op-test-no-build.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 using namespace icl; int main(){ // Variable initilization const ImgBase* refImg, *img; ImgBase *skinImg = imgNew(); FileGrabber r("demoImages/skinRefImg.ppm"); FileGrabber r2("demoImages/skinImg.ppm"); FileWriter w("skinMask.pgm"); std::vector vecparameter; SkinOp skinFilter, skinFilter2; // -------------------------------------------------------------- // ---- Train skin color filter // -------------------------------------------------------------- // Load skin reference image refImg = r.grab(); // Apply skin parameter skinFilter.train(refImg); // -------------------------------------------------------------- // ---- Detect skin color // -------------------------------------------------------------- // Load skin test image img = r2.grab(); // Set parabola parameter vecparameter.push_back(101); vecparameter.push_back(65); vecparameter.push_back(0.1); vecparameter.push_back(103); vecparameter.push_back(88); vecparameter.push_back(-0.09); skinFilter2.setParameter(vecparameter); // Detect skin color skinFilter2.apply(img, &skinImg); //Write skin mask w.write(skinImg); // Destroy objects and return return 0; }