OpenCV 3: 使用Robert、Sobel和拉普拉斯算子，以及自定义滤波器 - 渐进式图像模糊实现指南

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

using namespace std;
using namespace cv;

//Robert算子
int Demo_Robert()
{
char win1[] = "window1";
char win2[] = "window2";
char win3[] = "window3";

Mat img1, img2, img3, kernel_x, kernel_y;
img1 = imread("D://images//box//0019-00.jpg");
if (img1.empty())
{
cout << "could not load image..."<< endl;
return 0;
}
imshow(win1,img1);

//X方向—Robert算子
kernel_x = (Mat_<int>(2,2)<<1,0,0,-1);
filter2D(img1,img2,-1,kernel_x,Point(-1,-1),0,0);
//Y方向—Robert算子
kernel_y = (Mat_<int>(2, 2) << 0, 1, -1, 0);
filter2D(img1, img3, -1, kernel_y, Point(-1, -1), 0, 0);

imshow(win2, img2);
imshow(win3, img3);
return 0;
}

//Sobel算子
int Demo_Sobel()
{
char win1[] = "window1";
char win2[] = "window2";
char win3[] = "window3";

Mat img1, img2, img3, kernel_x, kernel_y;
img1 = imread("D://images//box//0019-00.jpg");
if (img1.empty())
{
cout << "could not load image..." << endl;
return 0;
}
imshow(win1, img1);

//X方向—Sobel算子
kernel_x = (Mat_<int>(3, 3) << -1,0,1,-2,0,2,-1,0,1);
filter2D(img1, img2, -1, kernel_x, Point(-1, -1), 0, 0);
//Y方向—Sobel算子
kernel_y = (Mat_<int>(3, 3) << -1,-2,-1,0,0,0,1,2,1);
filter2D(img1, img3, -1, kernel_y, Point(-1, -1), 0, 0);

imshow(win2, img2);
imshow(win3, img3);
return 0;

}

//拉普拉斯算子
int Demo_Laplace()
{
char win1[] = "window1";
char win2[] = "window2";
char win3[] = "window3";

Mat img1, img2, img3, kernel_x, kernel_y;
img1 = imread("D://images//box//0019-00.jpg");
if (img1.empty())
{
cout << "could not load image..." << endl;
return 0;
}
imshow(win1, img1);

//Laplace算子
kernel_x = (Mat_<int>(3, 3) << 0, -1, 0, -1, 4, -1, 0, -1, 0);
filter2D(img1, img2, -1, kernel_x, Point(-1, -1), 0, 0);

imshow(win2, img2);
return 0;
}

//自定义卷积核——实现渐进模糊
int Demo_Kernel()
{
char win1[] = "window1";
char win2[] = "window2";
char win3[] = "window3";

Mat img1, img2, img3, kernel_x, kernel_y;
img1 = imread("D://images//box//0019-00.jpg");
if (img1.empty())
{
cout << "could not load image..." << endl;
return 0;
}
imshow(win1, img1);

int c = 0;
int index = 0;
int ksize = 3;
while (true)
{
c = waitKey(600);
if ((char)c==27)
{
break;
}
ksize = 4 + (index % 5) * 2 + 1;
Mat kernel1 = Mat::ones(Size(ksize,ksize),CV_32F)/(float)(ksize*ksize);
filter2D(img1,img2,-1,kernel1,Point(-1,-1));
index++;
imshow(win2,img2);
}

imshow(win2, img2);
return 0;
}

int main()
{
//Demo_Robert();
//Demo_Sobel();
//Demo_Laplace();
Demo_Kernel();

waitKey(0);
return 0;
}