/******************************************************************** ** Image Component Library (ICL) ** ** ** ** Copyright (C) 2006-2012 CITEC, University of Bielefeld ** ** Neuroinformatics Group ** ** Website: www.iclcv.org and ** ** http://opensource.cit-ec.de/projects/icl ** ** ** ** File : ICLFilter/examples/champfer-op-test.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 void test_func_8(const ImgBase *src, ImgBase **dst){ BENCHMARK_THIS_FUNCTION; static ChamferOp co(3,4,8,false); co.apply(src,dst); } void test_func_2(const ImgBase *src, ImgBase **dst){ BENCHMARK_THIS_FUNCTION; static ChamferOp co(3,4,2,false); co.apply(src,dst); } void test_func_4(const ImgBase *src, ImgBase **dst){ BENCHMARK_THIS_FUNCTION; static ChamferOp co(3,4,4,false); co.apply(src,dst); } void test_func_1(const ImgBase *src, ImgBase **dst){ BENCHMARK_THIS_FUNCTION; static ChamferOp co(3,4,1,false); co.apply(src,dst); } int main(int n, char **ppc){ ImgQ image = create("parrot"); image = gray(image); image = scale(image,640,480); image = filter(image,"laplace"); image = thresh(image,250); //image.setROI(Rect(100,100,320,240)); ImgQ resAccu; ImgBase *res=0; Img8u im = cvt8u(image); for(int i=0;i<50;i++){ test_func_1(&im,&res); test_func_2(&im,&res); test_func_4(&im,&res); test_func_8(&im,&res); } printf("------- \n"); ImgQ r = cvt(res); r = norm(r); // roi(image) = roi(r); //image.setFullROI(); show(r); return 0; }