Opencv实现图像灰度线性变换
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：
