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https://blog.csdn.net/weixin_39190382?type=blog
0. 前言
均值滤波文章来源:https://www.toymoban.com/news/detail-733023.html
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);
}
}
}
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