最近在学习opencv图像处理，自学到将一副原图像上的像素点像素值反转，再输出新的图像
，代码如下：
#include<opencv2/opencv.hpp>
#include<iostream>
#include<math.h>
using namespace cv;
using namespace std;
int main(int argc, char **argv)
{
Mat gray_image;
Mat src = imread("C:/Users/Administrator/Desktop/1.jpg");
if (!src.data)
{
cout << "could not load image..." << endl;
return -1;
}
cvNamedWindow("原图",WINDOW_AUTOSIZE);
imshow("原图", src);
cvtColor(src, gray_image, CV_BGR2GRAY);
//namedWindow("output", CV_WINDOW_AUTOSIZE);
//imshow("output", gray_image);
//int height = gray_image.rows;
//int width = gray_image.cols;
Mat dst;
dst.create(src.size(), src.type());
int height = src.rows;
int width = src.cols;
int nc = src.channels();
for (int row = 0; row < height; row++) {
for (int col = 0; col < width; col++) {
//单通道
if (nc == 1) {
int gray = gray_image.at<uchar>(row, col);
gray_image.at<uchar>(row, col) = 255 - gray;
}
//三通道
else if (nc == 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] = 255-b;
dst.at<Vec3b>(row, col)[1] = 255 - g;
dst.at<Vec3b>(row, col)[2] = 255 - r;
gray_image.at<uchar>(row, col) = max(r, max(b, g));//取最大值作为灰度值
}
}
}
imshow("output", gray_image);
//bitwise_not(src, dst);
imshow("gray invert", dst);
waitKey(0);
return 0;
}
