Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
// 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.
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// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
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// this list of conditions and the following disclaimer.
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#ifndef CV_SEAMLESS_CLONING_HPP___
#define CV_SEAMLESS_CLONING_HPP___
#include "precomp.hpp"
#include "opencv2/photo.hpp"
#include <vector>
namespace cv
{
class Cloning
{
public:
void normalClone(const cv::Mat& destination, const cv::Mat &mask, const cv::Mat &wmask, cv::Mat &cloned, int flag);
void illuminationChange(cv::Mat &I, cv::Mat &mask, cv::Mat &wmask, cv::Mat &cloned, float alpha, float beta);
void localColorChange(cv::Mat &I, cv::Mat &mask, cv::Mat &wmask, cv::Mat &cloned, float red_mul, float green_mul, float blue_mul);
void textureFlatten(cv::Mat &I, cv::Mat &mask, cv::Mat &wmask, float low_threshold, float high_threhold, int kernel_size, cv::Mat &cloned);
protected:
void initVariables(const cv::Mat &destination, const cv::Mat &binaryMask);
void computeDerivatives(const cv::Mat &destination, const cv::Mat &patch, const cv::Mat &binaryMask);
void scalarProduct(cv::Mat mat, float r, float g, float b);
void poisson(const cv::Mat &destination);
void evaluate(const cv::Mat &I, const cv::Mat &wmask, const cv::Mat &cloned);
void dst(const Mat& src, Mat& dest, bool invert = false);
void idst(const Mat& src, Mat& dest);
void solve(const Mat &img, Mat& mod_diff, Mat &result);
void poissonSolver(const cv::Mat &img, cv::Mat &gxx , cv::Mat &gyy, cv::Mat &result);
void arrayProduct(const cv::Mat& lhs, const cv::Mat& rhs, cv::Mat& result) const;
void computeGradientX(const cv::Mat &img, cv::Mat &gx);
void computeGradientY(const cv::Mat &img, cv::Mat &gy);
void computeLaplacianX(const cv::Mat &img, cv::Mat &gxx);
void computeLaplacianY(const cv::Mat &img, cv::Mat &gyy);
private:
std::vector <cv::Mat> rgbx_channel, rgby_channel, output;
cv::Mat destinationGradientX, destinationGradientY;
cv::Mat patchGradientX, patchGradientY;
cv::Mat binaryMaskFloat, binaryMaskFloatInverted;
std::vector<float> filter_X, filter_Y;
};
}
#endif