OpenCV在C++中的图像增强案例

OpenCV（开源计算机视觉库）是一个用于处理实时图像和视频的开源库

1. 直方图均衡化：

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

using namespace cv;
using namespace std;

int main(int argc, char** argv) {
    Mat image = imread("input.jpg", IMREAD_GRAYSCALE);
    Mat equalizedImage;

    equalizeHist(image, equalizedImage);

    imshow("Original Image", image);
    imshow("Equalized Image", equalizedImage);

    waitKey(0);
    return 0;
}

2. 对比度拉伸：

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

using namespace cv;
using namespace std;

int main(int argc, char** argv) {
    Mat image = imread("input.jpg", IMREAD_COLOR);
    Mat stretchedImage;

    double minVal, maxVal;
    minMaxLoc(image, &minVal, &maxVal);

    for (int i = 0; i< image.rows; i++) {
        for (int j = 0; j< image.cols; j++) {
            Vec3b pixel = image.at<Vec3b>(i, j);
            for (int k = 0; k < 3; k++) {
                pixel[k] = saturate_cast<uchar>(255 * (pixel[k] - minVal) / (maxVal - minVal));
            }
            stretchedImage.at<Vec3b>(i, j) = pixel;
        }
    }

    imshow("Original Image", image);
    imshow("Stretched Image", stretchedImage);

    waitKey(0);
    return 0;
}

3. 高斯噪声去除：

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

using namespace cv;
using namespace std;

int main(int argc, char** argv) {
    Mat image = imread("input.jpg", IMREAD_COLOR);
    Mat denoisedImage;

    GaussianBlur(image, denoisedImage, Size(5, 5), 0);

    imshow("Original Image", image);
    imshow("Denoised Image", denoisedImage);

    waitKey(0);
    return 0;
}

4. 中值滤波：

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

using namespace cv;
using namespace std;

int main(int argc, char** argv) {
    Mat image = imread("input.jpg", IMREAD_COLOR);
    Mat filteredImage;

    medianBlur(image, filteredImage, 5);

    imshow("Original Image", image);
    imshow("Filtered Image", filteredImage);

    waitKey(0);
    return 0;
}

这些示例展示了如何使用OpenCV在C++中进行基本的图像增强。你可以根据需要调整参数以获得更好的效果。