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https://blog.csdn.net/weixin_39190382?type=blog

0. 前言

均值滤波

1. 均值滤波

#include <iostream>
#include <opencv2/opencv.hpp>
#include"Salt.h"using namespace cv;
using namespace std;// 定义盒式滤波器
void myfilter(int filter_size,Mat& img_input,Mat& img_output);int main(){Mat img,img_gray,img_output,img_output2;img = imread("/home/v/home.png");if (img.empty()){cout<<"can not load image"<<endl;return -1;}cvtColor(img,img_gray,COLOR_BGR2GRAY);Salt(img_gray,5000);  imshow("img_gray",img_gray);// 自定义滤波int filter_size = 7;myfilter(filter_size,img_gray,img_output);// opencv 自带滤波blur(img_gray,img_output2,Size(filter_size,filter_size));imshow("img out 1",img_output);imshow("img out 2",img_output2);waitKey(0);return 0;
}// 盒式滤波
void myfilter(int filter_size,Mat& img_input,Mat& img_output){img_output = img_input.clone();int k = (filter_size - 1)/2;for (int i = k;i<(img_input.rows - k);i++){for (int j = k;j<(img_input.cols - k);j++){int sum = 0;for (int m = -k;m<k+1;m++){for (int n=-k;n<k+1;n++){sum += img_input.at<uchar>(i+m,j+n);}}img_output.at<uchar>(i,j) = sum/(filter_size*filter_size);}}
}