3 x 3 Gaussian Kernel

5 x 5 Gaussian Kernel

Code

/* 作者：鄭大峰 時間：2019年09月23日 環境：OpenCV 4.1.1 + VS2017 內容：Gaussian Blur on Images with OpenCV */#include "pch.h" #include <iostream> #include <opencv2/opencv.hpp>using namespace std; using namespace cv;int main() {Mat image = imread("claudia.png");if (image.empty()){cout << "Could not open or find the image" << endl;cin.get();return -1;}//Blur the image with 3x3 Gaussian kernelMat image_blurred_with_3x3_kernel;GaussianBlur(image, image_blurred_with_3x3_kernel, Size(3, 3), 0);//Blur the image with 5x5 Gaussian kernelMat image_blurred_with_5x5_kernel;GaussianBlur(image, image_blurred_with_5x5_kernel, Size(5, 5), 0);//Define names of the windowsString window_name = "claudia.png";String window_name_blurred_with_3x3_kernel = "claudia.png Blurred with 3 x 3 Gaussian Kernel";String window_name_blurred_with_5x5_kernel = "claudia.png Blurred with 5 x 5 Gaussian Kernel";// Create windows with above namesnamedWindow(window_name);namedWindow(window_name_blurred_with_3x3_kernel);namedWindow(window_name_blurred_with_5x5_kernel);// Show our images inside the created windows.imshow(window_name, image);imshow(window_name_blurred_with_3x3_kernel, image_blurred_with_3x3_kernel);imshow(window_name_blurred_with_5x5_kernel, image_blurred_with_5x5_kernel);waitKey(0); // Wait for any key strokedestroyAllWindows(); //destroy all open windowsreturn 0; }

Result

從圖像可以看到，核心的尺寸越大，圖像細節丟失越嚴重。不過相較均值濾波，效果要好一些。

轉載于:https://www.cnblogs.com/zdfffg/p/11570703.html

總結

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