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Open Source Computer Vision Library
https://opencv.org/
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95 lines
2.4 KiB
95 lines
2.4 KiB
#include "opencv2/core/utility.hpp" |
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#include "opencv2/imgproc.hpp" |
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#include "opencv2/imgcodecs.hpp" |
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#include "opencv2/highgui.hpp" |
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#include <iostream> |
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using namespace cv; |
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using namespace std; |
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int _brightness = 100; |
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int _contrast = 100; |
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Mat image; |
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/* brightness/contrast callback function */ |
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static void updateBrightnessContrast( int /*arg*/, void* ) |
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{ |
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int histSize = 64; |
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int brightness = _brightness - 100; |
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int contrast = _contrast - 100; |
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/* |
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* The algorithm is by Werner D. Streidt |
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* (http://visca.com/ffactory/archives/5-99/msg00021.html) |
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*/ |
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double a, b; |
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if( contrast > 0 ) |
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{ |
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double delta = 127.*contrast/100; |
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a = 255./(255. - delta*2); |
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b = a*(brightness - delta); |
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} |
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else |
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{ |
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double delta = -128.*contrast/100; |
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a = (256.-delta*2)/255.; |
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b = a*brightness + delta; |
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} |
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Mat dst, hist; |
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image.convertTo(dst, CV_8U, a, b); |
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imshow("image", dst); |
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calcHist(&dst, 1, 0, Mat(), hist, 1, &histSize, 0); |
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Mat histImage = Mat::ones(200, 320, CV_8U)*255; |
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normalize(hist, hist, 0, histImage.rows, NORM_MINMAX, CV_32F); |
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histImage = Scalar::all(255); |
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int binW = cvRound((double)histImage.cols/histSize); |
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for( int i = 0; i < histSize; i++ ) |
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rectangle( histImage, Point(i*binW, histImage.rows), |
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Point((i+1)*binW, histImage.rows - cvRound(hist.at<float>(i))), |
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Scalar::all(0), -1, 8, 0 ); |
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imshow("histogram", histImage); |
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} |
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static void help() |
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{ |
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std::cout << "\nThis program demonstrates the use of calcHist() -- histogram creation.\n" |
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<< "Usage: \n" << "demhist [image_name -- Defaults to baboon.jpg]" << std::endl; |
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} |
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const char* keys = |
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{ |
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"{@image|baboon.jpg|input image file}" |
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}; |
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int main( int argc, const char** argv ) |
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{ |
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help(); |
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CommandLineParser parser(argc, argv, keys); |
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string inputImage = parser.get<string>(0); |
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// Load the source image. HighGUI use. |
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image = imread( inputImage, 0 ); |
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if(image.empty()) |
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{ |
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std::cerr << "Cannot read image file: " << inputImage << std::endl; |
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return -1; |
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} |
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namedWindow("image", 0); |
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namedWindow("histogram", 0); |
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createTrackbar("brightness", "image", &_brightness, 200, updateBrightnessContrast); |
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createTrackbar("contrast", "image", &_contrast, 200, updateBrightnessContrast); |
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updateBrightnessContrast(0, 0); |
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waitKey(); |
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return 0; |
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}
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