opencv 實(shí)現(xiàn)圖像像素點(diǎn)反轉(zhuǎn)

最近在學(xué)習(xí)opencv圖像處理，自學(xué)到將一副原圖像上的像素點(diǎn)像素值反轉(zhuǎn)，再輸出新的圖像

，代碼如下：

#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("原圖",WINDOW_AUTOSIZE);

imshow("原圖", 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++) {

//單通道

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));//取最大值作為灰度值

}

}

}

imshow("output", gray_image);

//bitwise_not(src, dst);

imshow("gray invert", dst);

waitKey(0);

return 0;

}