#include<iostream>

#include<opencv2/opencv.hpp>

using namespace std;

using namespace cv;

int main(int argc, char **argv)

{

    Mat src = imread("D:/meinv.jpg");

    namedWindow("源图像",CV_WINDOW_AUTOSIZE);

    imshow("源图像",src);

    /*Mat gray;

    cvtColor(src, gray, CV_BGR2GRAY);

    imshow("灰度图像", gray);*/

    /*   对灰度图像的像素改写

    int height = src.rows;

    int width = src.cols;

    int channels = src.channels();

    for (int i = 0; i < height; i++)

    {

        for (int j = 0; j < width; j++)

        {

            int gray_data = gray.at<uchar>(i, j);

            gray.at<uchar>(i, j) = 255 - gray_data;

        }

    }

    imshow("反色图像", gray);*/

}

        Mat dst;

	dst.create(src.size(), src.type());

	int height = src.rows;

	int width = src.cols;

	int channels = src.channels();

	for (int i = 0; i < height; i++)

	{

		for (int j = 0; j < width; j++)

		{

			int b = src.at<Vec3b>(i, j)[0];

			int g = src.at<Vec3b>(i, j)[1];

			int r = src.at<Vec3b>(i, j)[2];

			dst.at<Vec3b>(i, j)[0] = 255 - b;

			dst.at<Vec3b>(i, j)[1] = 255 - g;

			dst.at<Vec3b>(i, j)[2] = 255 - r;

		}

	}

    //进行反色的另一种方法：调用API

	/*bitwise_not(src, dst);*/

	imshow("反色图像",dst);

	imwrite("D:/dst.jpg", dst);

	waitKey(0);

	return 0;