Mat alphMeanFilter(Mat img,int filter_size,int d) {//濾波器尺寸必須是奇數(shù)if ((filter_size % 2) != 1 || filter_size >= img.cols || filter_size >= img.rows){printf("wrong size of the filter");return img;}//獲取圖片信息Mat OrignImg = img;Mat alph_mean_filter = Mat(img.size(),CV_8U,Scalar(0));int width = img.cols;int hight = img.rows;//均值濾波for (int i = ((filter_size - 1) / 2 ); i < width -1 - ((filter_size - 1) / 2); i++) {for (int j = ((filter_size - 1) / 2 ); j < hight -1 - ((filter_size - 1) / 2); j++){uchar max_delete = 0;int max_number;uchar min_delete = 255;int min_number;//存儲(chǔ)像素值std::vector<uchar> filter;for (int k = i - ((filter_size - 1) / 2); k <= i + ((filter_size - 1) / 2); k++)for(int m = j - ((filter_size - 1) / 2); m <= j + ((filter_size - 1) / 2); m++){filter.push_back(OrignImg.at<uchar>(m, k));}//找最高最低中值像素，對濾波器內(nèi)像素排序for (int fl_i = 0; fl_i < filter.size() - 1; fl_i++){int fl_ii = fl_i;while ((fl_ii >= 0 ) && (filter[fl_ii] > filter[fl_ii + 1] ) ){int temp = filter[fl_ii + 1];filter[fl_ii + 1] = filter[fl_ii];filter[fl_ii] = temp;fl_ii--;}}int means = 0;if (d > filter.size() / 2) {printf("wrong value of d,it can't bigger than half of filter_size*filter_size");return OrignImg;}for (int jf = d; jf < filter.size()-d; jf++)//去除前d為和后d位像素值{means += filter[jf];}//取得平均像素值means = means/ (filter.size() - 2*d);alph_mean_filter.at<uchar>(j, i) = means;}}return alph_mean_filter; } 創(chuàng)作挑戰(zhàn)賽新人創(chuàng)作獎(jiǎng)勵(lì)來咯，堅(jiān)持創(chuàng)作打卡瓜分現(xiàn)金大獎(jiǎng)

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