Image Component Library (ICL)
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00001 /******************************************************************** 00002 ** Image Component Library (ICL) ** 00003 ** ** 00004 ** Copyright (C) 2006-2013 CITEC, University of Bielefeld ** 00005 ** Neuroinformatics Group ** 00006 ** Website: www.iclcv.org and ** 00007 ** http://opensource.cit-ec.de/projects/icl ** 00008 ** ** 00009 ** File : ICLCV/src/ICLCV/FloodFiller.h ** 00010 ** Module : ICLCV ** 00011 ** Authors: Christof Elbrechter ** 00012 ** ** 00013 ** ** 00014 ** GNU LESSER GENERAL PUBLIC LICENSE ** 00015 ** This file may be used under the terms of the GNU Lesser General ** 00016 ** Public License version 3.0 as published by the ** 00017 ** ** 00018 ** Free Software Foundation and appearing in the file LICENSE.GPL ** 00019 ** included in the packaging of this file. Please review the ** 00020 ** following information to ensure the license requirements will ** 00021 ** be met: http://www.gnu.org/licenses/lgpl-3.0.txt ** 00022 ** ** 00023 ** The development of this software was supported by the ** 00024 ** Excellence Cluster EXC 277 Cognitive Interaction Technology. ** 00025 ** The Excellence Cluster EXC 277 is a grant of the Deutsche ** 00026 ** Forschungsgemeinschaft (DFG) in the context of the German ** 00027 ** Excellence Initiative. ** 00028 ** ** 00029 ********************************************************************/ 00030 00031 #pragma once 00032 00033 #include <ICLCore/Img.h> 00034 00035 namespace icl{ 00036 namespace cv{ 00037 00039 00069 class FloodFiller{ 00071 std::vector<utils::Point> futurePoints; 00072 00074 utils::Rect prepare(const utils::Size &imageSize, const utils::Point &seed); 00075 00076 public: 00077 00079 struct Result{ 00080 std::vector<utils::Point> pixels; 00081 core::Img8u ffLUT; 00082 } result; 00083 00085 00087 const Result &apply(const core::ImgBase *image, const utils::Point &seed, double referenceValue, double threshold); 00088 00089 00091 00093 const Result &applyColor(const core::ImgBase *image, const utils::Point &seed, 00094 double refR, double refG, double refB, double threshold); 00095 00097 00099 template<class T, class Criterion> 00100 inline const Result &applyGeneric(const core::Img<T> &image, const utils::Point &seed, Criterion crit){ 00101 utils::Rect r = prepare(image.getSize(),seed); 00102 00103 utils::Point *n = futurePoints.data(); // next point to seed from 00104 utils::Point *e = n; // end of stored seed points 00105 00106 *e++ = seed; 00107 00108 const core::Channel<T> im = image[0]; 00109 core::Channel8u ff = result.ffLUT[0]; 00110 00111 ff(seed.x,seed.y) = 255; 00112 00113 while(n != e){ 00114 const int x = n->x; 00115 const int y = n->y; 00116 ++n; 00117 if(crit(im(x,y))){ 00118 result.pixels.push_back(utils::Point(x,y)); 00119 #define ICL_DYNAMIC_FLOOD_FILLER_P(x,y) \ 00120 if(r.contains(x,y) && !ff(x,y)){ \ 00121 *e++ = utils::Point(x,y); \ 00122 ff(x,y) = 255; \ 00123 } 00124 00125 ICL_DYNAMIC_FLOOD_FILLER_P(x-1,y-1); 00126 ICL_DYNAMIC_FLOOD_FILLER_P(x,y-1); 00127 ICL_DYNAMIC_FLOOD_FILLER_P(x+1,y-1); 00128 00129 ICL_DYNAMIC_FLOOD_FILLER_P(x-1,y); 00130 ICL_DYNAMIC_FLOOD_FILLER_P(x+1,y); 00131 00132 ICL_DYNAMIC_FLOOD_FILLER_P(x-1,y+1); 00133 ICL_DYNAMIC_FLOOD_FILLER_P(x,y+1); 00134 ICL_DYNAMIC_FLOOD_FILLER_P(x+1,y+1); 00135 #undef ICL_DYNAMIC_FLOOD_FILLER_P 00136 } 00137 } 00138 return result; 00139 } 00140 00142 00145 template<class T, class Criterion3Channels> 00146 inline const Result &applyColorGeneric(const core::Img<T> &image, const utils::Point &seed, Criterion3Channels crit){ 00147 utils::Rect r = prepare(image.getSize(),seed); 00148 00149 utils::Point *n = futurePoints.data(); // next point to seed from 00150 utils::Point *e = n; // end of stored seed points 00151 00152 *e++ = seed; 00153 00154 const core::Channel<T> im0 = image[0]; 00155 const core::Channel<T> im1 = image[1]; 00156 const core::Channel<T> im2 = image[2]; 00157 00158 core::Channel8u ff = result.ffLUT[0]; 00159 00160 ff(seed.x,seed.y) = 255; 00161 00162 while(n != e){ 00163 const int x = n->x; 00164 const int y = n->y; 00165 ++n; 00166 if(crit(im0(x,y),im1(x,y),im2(x,y))){ 00167 result.pixels.push_back(utils::Point(x,y)); 00168 #define ICL_DYNAMIC_FLOOD_FILLER_P(x,y) \ 00169 if(r.contains(x,y) && !ff(x,y)){ \ 00170 *e++ = utils::Point(x,y); \ 00171 ff(x,y) = 255; \ 00172 } 00173 00174 ICL_DYNAMIC_FLOOD_FILLER_P(x-1,y-1); 00175 ICL_DYNAMIC_FLOOD_FILLER_P(x,y-1); 00176 ICL_DYNAMIC_FLOOD_FILLER_P(x+1,y-1); 00177 00178 ICL_DYNAMIC_FLOOD_FILLER_P(x-1,y); 00179 ICL_DYNAMIC_FLOOD_FILLER_P(x+1,y); 00180 00181 ICL_DYNAMIC_FLOOD_FILLER_P(x-1,y+1); 00182 ICL_DYNAMIC_FLOOD_FILLER_P(x,y+1); 00183 ICL_DYNAMIC_FLOOD_FILLER_P(x+1,y+1); 00184 #undef ICL_DYNAMIC_FLOOD_FILLER_P 00185 } 00186 } 00187 return result; 00188 } 00189 00191 template<class T> 00192 struct DefaultCriterion{ 00193 T val; 00194 T thresh; 00195 inline DefaultCriterion(T val, T thresh):val(val),thresh(thresh){} 00196 inline bool operator()(const T &pix) const{ 00197 return ::abs(val-pix) < thresh; 00198 } 00199 }; 00200 00202 template<class T> 00203 struct ReferenceColorCriterion{ 00204 T refcol[3]; 00205 T maxSquaredEuklDist; 00206 00207 inline ReferenceColorCriterion(T refr, T refg, T refb, T maxEuclDist): 00208 maxSquaredEuklDist(maxEuclDist*maxEuclDist){ 00209 refcol[0] = refr; 00210 refcol[1] = refg; 00211 refcol[2] = refb; 00212 } 00213 inline bool operator()( const T &r, const T &g, const T &b) const{ 00214 return utils::sqr(r-refcol[0]) + utils::sqr(g-refcol[1]) + utils::sqr(b-refcol[2]) < maxSquaredEuklDist; 00215 } 00216 }; 00217 }; 00218 00220 // specialized 00221 template<> 00222 struct FloodFiller::ReferenceColorCriterion<icl8u>{ 00223 int refcol[3]; 00224 int maxSquaredEuklDist; 00225 00226 inline ReferenceColorCriterion(icl8u refr, icl8u refg, icl8u refb, int maxEuclDist): 00227 maxSquaredEuklDist(maxEuclDist*maxEuclDist){ 00228 refcol[0] = refr; 00229 refcol[1] = refg; 00230 refcol[2] = refb; 00231 } 00232 inline bool operator()( const icl8u &r, const icl8u &g, const icl8u &b) const{ 00233 return utils::sqr(int(r)-refcol[0]) + utils::sqr(int(g)-refcol[1]) + utils::sqr(int(b)-refcol[2]) < maxSquaredEuklDist; 00234 } 00235 }; 00239 } // namespace cv 00240 } 00241 00242