OpenCV 滤波方法总结

1.概述

在深度学习出现之前，主要有中值滤波、均值滤波、高斯滤波等.

2.理论对比

3.代码实现

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

int main(int argc, char** argv) {
    if(argc != 2) {
        std::cerr << "Usage: " << argv[0] << " <image_path>" << std::endl;
        return -1;
    }

    // Load the noisy image
    cv::Mat noisyImage = cv::imread(argv[1]);
    if(noisyImage.empty()) {
        std::cerr << "Error: Couldn't read the image. Check the path and try again." << std::endl;
        return -1;
    }
    cv::imshow("Noisy Image", noisyImage);

    // Apply averaging blur
    cv::Mat averageBlurred;
    cv::blur(noisyImage, averageBlurred, cv::Size(5,5));
    cv::imshow("Averaging Blur", averageBlurred);

    // Apply Gaussian blur
    cv::Mat gaussianBlurred;
    cv::GaussianBlur(noisyImage, gaussianBlurred, cv::Size(5,5), 0);
    cv::imshow("Gaussian Blur", gaussianBlurred);

    // Apply median blur
    cv::Mat medianBlurred;
    cv::medianBlur(noisyImage, medianBlurred, 5);
    cv::imshow("Median Blur", medianBlurred);

    // Wait for a key press and then close
    cv::waitKey(0);
    
    return 0;
}