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.size().width -> cols
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@ -130,8 +130,8 @@ void Cloning::idst(const Mat& src, Mat& dest)
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void Cloning::solve(const Mat &img, std::vector<float>& mod_diff, Mat &result)
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{
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const int w = img.size().width;
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const int h = img.size().height;
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const int w = img.cols;
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const int h = img.rows;
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Mat ModDiff(h-2, w-2, CV_32F, &mod_diff[0]);
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@ -184,8 +184,8 @@ void Cloning::solve(const Mat &img, std::vector<float>& mod_diff, Mat &result)
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void Cloning::poissonSolver(const Mat &img, Mat &laplacianX , Mat &laplacianY, Mat &result)
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{
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const int w = img.size().width;
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const int h = img.size().height;
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const int w = img.cols;
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const int h = img.rows;
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unsigned long int idx;
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@ -244,12 +244,12 @@ void Cloning::initVariables(const Mat &destination, const Mat &binaryMask)
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binaryMaskFloatInverted = Mat(binaryMask.size(),CV_32FC1);
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//init of the filters used in the dst
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const int w = destination.size().width;
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const int w = destination.cols;
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filter_X.resize(w - 2);
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for(int i = 0 ; i < w-2 ; ++i)
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filter_X[i] = 2.0f * std::cos(CV_PI * (i + 1) / (w - 1));
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const int h = destination.size().height;
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const int h = destination.rows;
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filter_Y.resize(h - 2);
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for(int j = 0 ; j < h - 2 ; ++j)
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filter_Y[j] = 2.0f * std::cos(CV_PI * (j + 1) / (h - 1));
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@ -334,8 +334,8 @@ void Cloning::evaluate(const Mat &I, const Mat &wmask, const Mat &cloned)
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void Cloning::normalClone(const Mat &destination, const Mat &patch, const Mat &binaryMask, Mat &cloned, int flag)
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{
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int w = destination.size().width;
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int h = destination.size().height;
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int w = destination.cols;
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int h = destination.rows;
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int channel = destination.channels();
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computeDerivatives(destination,patch,binaryMask);
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