Mat gaussFilter(Mat img, int filter_size,int them_x,int them_y) {//濾波器尺寸必須是奇數if ((filter_size % 2) != 1 || filter_size >= img.cols || filter_size >= img.rows){printf("wrong size of the filter");return img;}Mat OriImage = img;Mat gaussImage = Mat(img.size(), CV_8UC1, Scalar(0));//創建高斯濾波核std::vector<float> gauss_filter_core;int them_xx = them_x;int them_yy = them_y;int gauss_filter_size = filter_size;int center = gauss_filter_size / 2;for(int i = 0;i < gauss_filter_size;i++)for (int j = 0; j < gauss_filter_size; j++) {float xx = (float)(pow(i - center, 2) / (2*them_xx));float yy = (float)(pow(j - center, 2) / (2*them_yy));float xx_yy = -(xx + yy);gauss_filter_core.push_back(exp(xx_yy));}//高斯濾波核整數化float mult = (float)(10 / gauss_filter_core[0]);int gauss_total = 0;for (int i = 0; i < gauss_filter_core.size(); i++) {gauss_filter_core[i] = (int)(mult * gauss_filter_core[i]);gauss_total = gauss_total + gauss_filter_core[i];}//開始高斯濾波int width = OriImage.cols;int hight = OriImage.rows;for(int i = ((gauss_filter_size-1)/2);i <hight-(gauss_filter_size-1)/2;i++ )for (int j = ((gauss_filter_size - 1) / 2); j < width - (gauss_filter_size - 1) / 2; j++){int gauss_value = 0;int gauss_value_n = 0;//高斯濾波核過濾for (int k = i - ((gauss_filter_size - 1) / 2); k <= i + ((gauss_filter_size - 1) / 2); k++)for (int m = j - ((gauss_filter_size - 1) / 2); m <= j + ((gauss_filter_size - 1) / 2); m++){gauss_value = gauss_value + gauss_filter_core[gauss_value_n]*OriImage.at<uchar>(k, m);gauss_value_n++;}gauss_value = gauss_value / gauss_total;gaussImage.at<uchar>(i, j) = gauss_value;}return gaussImage; }

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