/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "precomp.hpp" #include "opencv2/photo.hpp" #include "seamless_cloning.hpp" using namespace std; using namespace cv; void cv::seamlessClone(InputArray _src, InputArray _dst, InputArray _mask, Point p, OutputArray _blend, int flags) { const Mat src = _src.getMat(); const Mat dest = _dst.getMat(); const Mat mask = _mask.getMat(); _blend.create(dest.size(), CV_8UC3); Mat blend = _blend.getMat(); int minx = INT_MAX, miny = INT_MAX, maxx = INT_MIN, maxy = INT_MIN; int h = mask.size().height; int w = mask.size().width; Mat gray = Mat(mask.size(),CV_8UC1); Mat dst_mask = Mat::zeros(dest.size(),CV_8UC1); Mat cs_mask = Mat::zeros(src.size(),CV_8UC3); Mat cd_mask = Mat::zeros(dest.size(),CV_8UC3); if(mask.channels() == 3) cvtColor(mask, gray, COLOR_BGR2GRAY ); else gray = mask; for(int i=0;i(i,j) == 255) { minx = std::min(minx,i); maxx = std::max(maxx,i); miny = std::min(miny,j); maxy = std::max(maxy,j); } } } int lenx = maxx - minx; int leny = maxy - miny; Mat patch = Mat::zeros(Size(leny, lenx), CV_8UC3); int minxd = p.y - lenx/2; int maxxd = p.y + lenx/2; int minyd = p.x - leny/2; int maxyd = p.x + leny/2; CV_Assert(minxd >= 0 && minyd >= 0 && maxxd <= dest.rows && maxyd <= dest.cols); Rect roi_d(minyd,minxd,leny,lenx); Rect roi_s(miny,minx,leny,lenx); Mat destinationROI = dst_mask(roi_d); Mat sourceROI = cs_mask(roi_s); gray(roi_s).copyTo(destinationROI); src(roi_s).copyTo(sourceROI,gray(roi_s)); src(roi_s).copyTo(patch, gray(roi_s)); destinationROI = cd_mask(roi_d); cs_mask(roi_s).copyTo(destinationROI); Cloning obj; obj.normalClone(dest,cd_mask,dst_mask,blend,flags); } void cv::colorChange(InputArray _src, InputArray _mask, OutputArray _dst, float r, float g, float b) { Mat src = _src.getMat(); Mat mask = _mask.getMat(); _dst.create(src.size(), src.type()); Mat blend = _dst.getMat(); float red = r; float green = g; float blue = b; Mat gray = Mat::zeros(mask.size(),CV_8UC1); if(mask.channels() == 3) cvtColor(mask, gray, COLOR_BGR2GRAY ); else gray = mask; Mat cs_mask = Mat::zeros(src.size(),CV_8UC3); src.copyTo(cs_mask,gray); Cloning obj; obj.localColorChange(src,cs_mask,gray,blend,red,green,blue); } void cv::illuminationChange(InputArray _src, InputArray _mask, OutputArray _dst, float a, float b) { Mat src = _src.getMat(); Mat mask = _mask.getMat(); _dst.create(src.size(), src.type()); Mat blend = _dst.getMat(); float alpha = a; float beta = b; Mat gray = Mat::zeros(mask.size(),CV_8UC1); if(mask.channels() == 3) cvtColor(mask, gray, COLOR_BGR2GRAY ); else gray = mask; Mat cs_mask = Mat::zeros(src.size(),CV_8UC3); src.copyTo(cs_mask,gray); Cloning obj; obj.illuminationChange(src,cs_mask,gray,blend,alpha,beta); } void cv::textureFlattening(InputArray _src, InputArray _mask, OutputArray _dst, float low_threshold, float high_threshold, int kernel_size) { Mat src = _src.getMat(); Mat mask = _mask.getMat(); _dst.create(src.size(), src.type()); Mat blend = _dst.getMat(); Mat gray = Mat::zeros(mask.size(),CV_8UC1); if(mask.channels() == 3) cvtColor(mask, gray, COLOR_BGR2GRAY ); else gray = mask; Mat cs_mask = Mat::zeros(src.size(),CV_8UC3); src.copyTo(cs_mask,gray); Cloning obj; obj.textureFlatten(src,cs_mask,gray,low_threshold,high_threshold,kernel_size,blend); }