Created
September 29, 2016 14:21
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| template <typename T, unsigned int S> | |
| void convolution(cv::Mat& original, cv::Mat& resultImg, T kernel[S][S]) | |
| { | |
| original.copyTo(resultImg); | |
| int offset = S / 2; | |
| T scale = 0; | |
| for (int i = 0; i < S; i++) | |
| { | |
| for (int j = 0; j < S; j++) | |
| { | |
| scale += kernel[i][j]; | |
| } | |
| } | |
| for (int y = offset; y < original.rows - offset; y++) | |
| { | |
| for (int x = offset; x < original.cols - offset; x++) | |
| { | |
| cv::Vec3i result = cv::Vec3i(0, 0, 0); | |
| for (int i = -1; i < 2; i++) | |
| { | |
| for (int j = -1; j < 2; j++) | |
| { | |
| pixel_t pix = original.at<pixel_t>(y + i, x + j); | |
| cv::Vec3i c = pix; | |
| c *= kernel[i + 1][j + 1]; | |
| result += c; | |
| } | |
| } | |
| if (scale == 0) | |
| { | |
| scale = 1; | |
| } | |
| result /= scale; | |
| resultImg.at<pixel_t>(y, x) = result; | |
| } | |
| } | |
| } |
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