OpenCV: demhist.cpp

| OpenCV 3.4.2 Open Source Computer Vision

demhist.cpp

An example for creating histograms of an image

#include "opencv2/core/utility.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include <iostream>
using namespace cv;
using namespace std;
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);
}
static void help()
{
std::cout << "\nThis program demonstrates the use of calcHist() -- histogram creation.\n"
<< "Usage: \n" << "demhist [image_name -- Defaults to ../data/baboon.jpg]" << std::endl;
}
const char* keys =
{
"{help h||}{@image|../data/baboon.jpg|input image file}"
};
int main( int argc, const char** argv )
{
CommandLineParser parser(argc, argv, keys);
if (parser.has("help"))
{
help();
return 0;
}
string inputImage = parser.get<string>(0);
// Load the source image. HighGUI use.
image = imread( inputImage, 0 );
if(image.empty())
{
std::cerr << "Cannot read image file: " << inputImage << std::endl;
return -1;
}
namedWindow("image", 0);
namedWindow("histogram", 0);
createTrackbar("brightness", "image", &_brightness, 200, updateBrightnessContrast);
createTrackbar("contrast", "image", &_contrast, 200, updateBrightnessContrast);
updateBrightnessContrast(0, 0);
waitKey();
return 0;
}