Open Source Computer Vision Library https://opencv.org/
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#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>
using namespace cv;
using namespace std;
int _brightness = 100;
int _contrast = 100;
Mat image;
/* brightness/contrast callback function */
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, CV_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);
}
void help()
{
cout << "\nThis program demonstrates the use of calcHist -- histogram creation.\n"
"Call:\n"
"demhist [image_name -- Defaults to baboon.jpg]\n" << endl;
}
int main( int argc, char** argv )
{
// Load the source image. HighGUI use.
image = imread( argc == 2 ? argv[1] : "baboon.jpg", 0 );
if( image.empty() )
{
help();
return -1;
}
help();
namedWindow("image", 0);
namedWindow("histogram", 0);
createTrackbar("brightness", "image", &_brightness, 200, updateBrightnessContrast);
createTrackbar("contrast", "image", &_contrast, 200, updateBrightnessContrast);
updateBrightnessContrast(0, 0);
waitKey();
return 0;
}