Mat autoMedFilter(Mat img, int filter_size,int max_filter_size) {//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;}//獲取圖片信息Mat OrignImg = img;Mat med_filter = Mat(img.size(), CV_8U, Scalar(0));int width = img.cols;int hight = img.rows;//自適應中值濾波for (int i = ((filter_size - 1) / 2); i < width - ((filter_size -1) / 2); i++) {for (int j = ((filter_size - 1) / 2); j < hight - ((filter_size-1) / 2); j++){uchar max_pixel = 0;uchar min_pixel = 255;int med_pixel = 0;//存儲像素值std::vector<uchar> filter;//判斷選擇合適大小的濾波器int filter_size_l = filter_size;do{filter.clear();//清空濾波器for (int k = i - ((filter_size_l - 1) / 2); k <= i + ((filter_size_l - 1) / 2); k++)for (int m = j - ((filter_size_l - 1) / 2); m <= j + ((filter_size_l - 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--;}}max_pixel = filter[filter.size() - 1];min_pixel = filter[0];med_pixel = filter[filter.size() / 2];filter_size_l = filter_size_l + 2;//濾波器尺寸加2} while (((med_pixel <= min_pixel) || (med_pixel >= max_pixel))&&((filter_size_l < max_filter_size)&&(filter_size_l<(2*i+1))&&(filter_size_l<(2*j+1)&&(filter_size_l < 2*(hight - j))&& (filter_size_l < 2*(width- i)))));//if (OrignImg.at<uchar>(j, i) == min_pixel || max_pixel == OrignImg.at<uchar>(j, i)){med_filter.at<uchar>(j, i) = med_pixel;}elsemed_filter.at<uchar>(j, i) = OrignImg.at<uchar>(j, i);//med_filter.at<uchar>(j, i) = med_pixel;}}return med_filter; }

總結

以上是生活随笔為你收集整理的C++自定义自适应中值滤波的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。