Mat image = imread("D:/ju.jpg");
imshow("素材图", image);
int bins = 256; //直条为256
int hist_size[] = { bins };
float range[] = { 0,256 };
const float* ranges[] = { range };
MatND redHist, greenHist, blueHist;
//MAT数据为BGR
int channels_r[] = { 2 }; //r通道
calcHist(&image, 1, channels_r, Mat(), redHist, 1, hist_size, ranges, true, false);
int channels_g[] = { 1 };
calcHist(&image, 1, channels_g, Mat(), greenHist, 1, hist_size, ranges, true, false);
int channels_b[] = { 0 };
calcHist(&image, 1, channels_b, Mat(), blueHist, 1, hist_size, ranges, true, false);
//准备参数绘制三色直方图
double maxValue_red, maxValue_green, maxValue_blue;
minMaxLoc(redHist, 0, &maxValue_red, 0, 0);
minMaxLoc(greenHist, 0, &maxValue_green, 0, 0);
minMaxLoc(blueHist, 0, &maxValue_blue, 0, 0);
int scale = 1;
int histHeight = 256;
//bins * 3 是因为要绘制三个通道,每个通道的像素取值在 0-bins
Mat histImage = Mat::zeros(histHeight, bins * 3, CV_8UC3);
//开始绘制
for (int i = 0; i < bins; i++) {
float binValue_red = redHist.at<float>(i);
float binValue_green = greenHist.at<float>(i);
float binValue_blue = blueHist.at<float>(i);
//计算高度时的乘除与下面绘图的 histHeight - intensity 是为了便于显示,否则有的色度很低
//要绘制的高度
int intensity_red = cvRound(binValue_red * histHeight / maxValue_red);
int intensity_green = cvRound(binValue_green * histHeight / maxValue_green);
int intensity_blue = cvRound(binValue_blue * histHeight / maxValue_blue);
rectangle(histImage, Point(i * scale, histHeight - 1),
Point((i + 1) * scale - 1, histHeight - intensity_red),
Scalar(255, 0, 0));
rectangle(histImage, Point((i + bins) * scale, histHeight - 1),
Point((i + bins + 1) * scale - 1, histHeight - intensity_green),
Scalar(0, 255, 0));
rectangle(histImage, Point((i + bins * 2) * scale, histHeight - 1),
Point((i + bins * 2 + 1) * scale - 1, histHeight - intensity_blue),
Scalar(0, 0, 255));
}
imshow("图像的 RGB 直方图", histImage);
效果如下:
原文链接: https://www.cnblogs.com/zebra-bin/p/13745130.html
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