1.使用opencv1中的IplImage

程式碼如下：

int main()
{
IplImage* img = cvLoadImage("lena.jpg");
	CvScalar s;
	for (int y = 0; y <img->height; y++) {
		for (int x = 0; x < img->width; x++) {
			s = cvGet2D(img, y, x);
			int mu = (s.val[0] + s.val[1] + s.val[2]) / 3;//照片每個畫素點RGB三通道的均值
			int piex = sqrt((pow(s.val[0] - mu, 2) + pow(s.val[1] - mu, 2) + pow(s.val[2] - mu, 2))/3);
			s.val[0] = piex;
			s.val[1] = piex;
			s.val[2] = piex;
			 //printf("mu=%d\n", mu);
			//printf("B=%f,G=%f,R=%f\n", s.val[0], s.val[1], s.val[2]);//獲取的分別是BGR的值
			cvSet2D(img, y, x, s);
		}
	}
	cvSaveImage("img.jpg", img);
	waitKey(0);
}
 

程式碼如下：

int main()
{      Mat img = imread("lena.jpg");
	for (int i = 0; i<img.rows; i++)
	{
		for (int j = 0; j<img.cols; j++)
		{
			int mu = img.at<Vec3b>(i, j)[0] + img.at<Vec3b>(i, j)[1] + img.at<Vec3b>(i, j)[2];
			mu /= 3;
			int stdev = sqrt(double((img.at<Vec3b>(i, j)[0] - mu)*(img.at<Vec3b>(i, j)[0] - mu) + (img.at<Vec3b>(i, j)[1] - mu)*(img.at<Vec3b>(i, j)[1] - mu) + (img.at<Vec3b>(i, j)[2] - mu)*(img.at<Vec3b>(i, j)[2] - mu)) / 3);
			for (int k = 0; k<3; k++)
				img.at<Vec3b>(i, j)[k] = stdev;
		}
	}
	imshow("lena.jpg", img);
	imwrite("A.jpg", img);
	waitKey(0);
	return 0;
}