opencv3 图片模糊操作-均值滤波 高斯滤波 中值滤波 双边滤波

#include <iostream>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

//均值滤波模糊处理
int demo_blur()
{
char win1[] = "window1";
char win2[] = "window2";
Mat img1, img2;

img1 = imread("D://images//4.jpg");
if (img1.empty())
{
cout <<"could not found img..." << endl;
return 0;
}
imshow(win1,img1);
blur(img1,img2,Size(9,9),Point(-1,-1));
imshow(win2, img2);
return 0;
}

//高斯滤波
int demo_gaussian_blur()
{
char win1[] = "window1";
char win2[] = "window2";
Mat img1, img2;

img1 = imread("D://images//timg1.jpg");
if (img1.empty())
{
cout << "could not found img..." << endl;
return 0;
}
imshow(win1, img1);
//blur(img1, img2, Size(9, 9), Point(-1, -1));
GaussianBlur(img1, img2, Size(9, 9), 11, 11, 4);
imshow(win2, img2);
return 0;
}

//中值滤波
int demo_median_blur()
{
char win1[] = "window1";
char win2[] = "window2";
Mat img1, img2;

img1 = imread("D://images//2018092701.jpg");
if (img1.empty())
{
cout << "could not found img..." << endl;
return 0;
}
imshow(win1, img1);
//blur(img1, img2, Size(9, 9), Point(-1, -1));
//GaussianBlur(img1, img2, Size(9, 9), 11, 11, 4);
medianBlur(img1, img2, 5);
imshow(win2, img2);
return 0;
}

//双边滤波
int demo_bilateral_filter()
{
char win1[] = "window1";
char win2[] = "window2";
Mat img1, img2;

img1 = imread("D://images//timg1.jpg");
if (img1.empty())
{
cout << "could not found img..." << endl;
return 0;
}
imshow(win1, img1);
//blur(img1, img2, Size(9, 9), Point(-1, -1));
//GaussianBlur(img1, img2, Size(9, 9), 11, 11, 4);
//medianBlur(img1, img2, 5);
bilateralFilter(img1, img2, 15, 100, 3, 4);
imshow(win2, img2);
return 0;
}

int main()
{
//demo_blur();
//demo_gaussian_blur();
//demo_median_blur();
demo_bilateral_filter();

waitKey(0);
return 0;
}