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OpenCV(開(kāi)源計(jì)算機(jī)視覺(jué)庫(kù))是一個(gè)用于處理實(shí)時(shí)圖像和視頻的開(kāi)源庫(kù)
#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;
}
#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;
}
#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;
}
#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;
}
這些示例展示了如何使用OpenCV在C++中進(jìn)行基本的圖像增強(qiáng)。你可以根據(jù)需要調(diào)整參數(shù)以獲得更好的效果。
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