Opencv实现图像灰度线性变换

2020-01-26 13:27:49

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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;}

运行结果如下：