OpenCV4入门教程080:图像直方图动态调整参数均衡化

索引地址:系列索引

此程序结合滚动条的创建,演示了如何用calcHist来创建直方图。可以条件滚动条,看到不同形态的图像直方图。

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//---------------------------------【头文件、命名空间包含部分】----------------------------
// 描述:包含程序所使用的头文件和命名空间
//------------------------------------------------------------------------------------------------
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
using namespace cv;
using namespace std;

//-----------------------------------【全局变量声明部分】---------------------------------------
// 描述:声明全局变量
//---------------------------------------------------------------------------------------------------
int _brightness = 100;
int _contrast = 100;
Mat image;

/* brightness/contrast callback function */
static void updateBrightnessContrast(int /*arg*/, void *) {
int histSize = 64;
int brightness = _brightness - 100;
int contrast = _contrast - 100;

/*
* The algorithm is by Werner D. Streidt
* (http://visca.com/ffactory/archives/5-99/msg00021.html)
*/
double a, b;
if (contrast > 0) {
double delta = 127. * contrast / 100;
a = 255. / (255. - delta * 2);
b = a * (brightness - delta);
} else {
double delta = -128. * contrast / 100;
a = (256. - delta * 2) / 255.;
b = a * brightness + delta;
}

Mat dst, hist;
image.convertTo(dst, CV_8U, a, b);
imshow("image", dst);

calcHist(&dst, 1, 0, Mat(), hist, 1, &histSize, 0);
Mat histImage = Mat::ones(200, 320, CV_8U) * 255;

normalize(hist, hist, 0, histImage.rows, NORM_MINMAX, CV_32F);

histImage = Scalar::all(255);
int binW = cvRound((double)histImage.cols / histSize);

for (int i = 0; i < histSize; i++)
rectangle(histImage, Point(i * binW, histImage.rows),
Point((i + 1) * binW, histImage.rows - cvRound(hist.at<float>(i))),
Scalar::all(0), -1, 8, 0);
imshow("histogram", histImage);
}

//-----------------------------------【main( )函数】--------------------------------------------
// 描述:控制台应用程序的入口函数,我们的程序从这里开始
//-------------------------------------------------------------------------------------------------
int main(int argc, const char **argv) {
image = imread("1.png", 1);
imshow("src", image);

// 载入原始图
image = imread("1.png", 0);
imshow("gray", image);

namedWindow("image", 0);
namedWindow("histogram", 0);

createTrackbar("brightness", "image", &_brightness, 200, updateBrightnessContrast);
createTrackbar("contrast", "image", &_contrast, 200, updateBrightnessContrast);

updateBrightnessContrast(0, 0);
waitKey();

return 0;
}

dynamic


OpenCV4入门教程080:图像直方图动态调整参数均衡化
https://feater.top/opencv/opencv-dynamic-para-equalize-histogram/
作者
JackeyLea
发布于
2020年10月5日
许可协议