Opencv实现图像灰度线性变换

Z时代
2024-01-10
分类：IT

本文实例为大家分享了Opencv实现图像灰度线性变换的具体代码，供大家参考，具体内容如下

通过图像灰度线性变换提高图像对比度和亮度,原图像为src，目标图像为dst，则dst(x,y) = * src(x,y) + 。

不仅对单通道图像可以做灰度线性变换，对三通道图像同样可以。


#include<opencv2/opencv.hpp>;
#include<iostream>
using namespace cv;
using namespace std;
int main(int argc, char** argv)
{
 Mat src,dst;
 src = imread("1.jpg");
 if (!src.data)
 {
 cout << "could not load image" << endl;
 return -1;
 }
 namedWindow("input", CV_WINDOW_AUTOSIZE);
 imshow("input", src);
 int rows = src.rows;
 int cols = src.cols;
 float alpha = 1.2, beta = 10;
 dst = Mat::zeros(src.size(), src.type());
 for (int row = 0; row < rows; row++) {
 for (int col = 0; col < cols; col++) { 
 if (src.channels() == 3) {
 int b = src.at<Vec3b>(row, col)[0];
 int g = src.at<Vec3b>(row, col)[1];
 int r = src.at<Vec3b>(row, col)[2];
 dst.at<Vec3b>(row, col)[0] = saturate_cast<uchar>((alpha*b + beta));
 dst.at<Vec3b>(row, col)[1] = saturate_cast<uchar>((alpha*g + beta));
 dst.at<Vec3b>(row, col)[2] = saturate_cast<uchar>((alpha*r + beta));
 }
 else if(src.channels()==1){
 int v = src.at<uchar>(row, col);
 dst.at<uchar>(row, col) = saturate_cast<uchar>(alpha*v + beta);
 }
 }
 }
 namedWindow("output", CV_WINDOW_AUTOSIZE);
 imshow("output", dst);
 waitKey(0);
 return 0;
}