vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e
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#include "opencv2/core.hpp"
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#include "opencv2/imgcodecs.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/intensity_transform.hpp"
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#include <iostream>
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using namespace std;
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using namespace cv;
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using namespace cv::intensity_transform;
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namespace
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{
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static std::string keys =
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"{ help h | | Print help message. }"
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"{ input i | | Path to the input image. }";
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// global variables
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Mat g_image;
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int g_gamma = 40;
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const int g_gammaMax = 500;
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Mat g_imgGamma;
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const std::string g_gammaWinName = "Gamma Correction";
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Mat g_contrastStretch;
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int g_r1 = 70;
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int g_s1 = 15;
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int g_r2 = 120;
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int g_s2 = 240;
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const std::string g_contrastWinName = "Contrast Stretching";
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Mat g_imgBIMEF;
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int g_mu = 50;
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const int g_muMax = 100;
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const std::string g_BIMEFWinName = "BIMEF";
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static void onTrackbarGamma(int, void*)
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{
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float gamma = g_gamma / 100.0f;
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gammaCorrection(g_image, g_imgGamma, gamma);
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imshow(g_gammaWinName, g_imgGamma);
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}
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static void onTrackbarContrastR1(int, void*)
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{
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contrastStretching(g_image, g_contrastStretch, g_r1, g_s1, g_r2, g_s2);
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imshow("Contrast Stretching", g_contrastStretch);
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}
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static void onTrackbarContrastS1(int, void*)
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{
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contrastStretching(g_image, g_contrastStretch, g_r1, g_s1, g_r2, g_s2);
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imshow("Contrast Stretching", g_contrastStretch);
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}
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static void onTrackbarContrastR2(int, void*)
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{
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contrastStretching(g_image, g_contrastStretch, g_r1, g_s1, g_r2, g_s2);
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imshow("Contrast Stretching", g_contrastStretch);
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}
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static void onTrackbarContrastS2(int, void*)
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{
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contrastStretching(g_image, g_contrastStretch, g_r1, g_s1, g_r2, g_s2);
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imshow("Contrast Stretching", g_contrastStretch);
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}
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static void onTrackbarBIMEF(int, void*)
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{
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float mu = g_mu / 100.0f;
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BIMEF(g_image, g_imgBIMEF, mu);
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imshow(g_BIMEFWinName, g_imgBIMEF);
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}
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}
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int main(int argc, char **argv)
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{
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CommandLineParser parser(argc, argv, keys);
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const std::string inputFilename = parser.get<String>("input");
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parser.about("Use this script to apply intensity transformation on an input image.");
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if (parser.has("help") || inputFilename.empty())
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{
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parser.printMessage();
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return 0;
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}
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// Read input image
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g_image = imread(inputFilename);
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// Create trackbars
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namedWindow(g_gammaWinName);
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createTrackbar("Gamma value", g_gammaWinName, &g_gamma, g_gammaMax, onTrackbarGamma);
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namedWindow(g_contrastWinName);
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createTrackbar("Contrast R1", g_contrastWinName, &g_r1, 256, onTrackbarContrastR1);
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createTrackbar("Contrast S1", g_contrastWinName, &g_s1, 256, onTrackbarContrastS1);
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createTrackbar("Contrast R2", g_contrastWinName, &g_r2, 256, onTrackbarContrastR2);
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createTrackbar("Contrast S2", g_contrastWinName, &g_s2, 256, onTrackbarContrastS2);
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namedWindow(g_BIMEFWinName);
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createTrackbar("Enhancement ratio mu", g_BIMEFWinName, &g_mu, g_muMax, onTrackbarBIMEF);
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// Apply intensity transformations
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Mat imgAutoscaled, imgLog;
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autoscaling(g_image, imgAutoscaled);
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gammaCorrection(g_image, g_imgGamma, g_gamma/100.0f);
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logTransform(g_image, imgLog);
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contrastStretching(g_image, g_contrastStretch, g_r1, g_s1, g_r2, g_s2);
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BIMEF(g_image, g_imgBIMEF, g_mu / 100.0f);
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// Display intensity transformation results
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imshow("Original Image", g_image);
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imshow("Autoscale", imgAutoscaled);
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imshow(g_gammaWinName, g_imgGamma);
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imshow("Log Transformation", imgLog);
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imshow(g_contrastWinName, g_contrastStretch);
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imshow(g_BIMEFWinName, g_imgBIMEF);
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waitKey(0);
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return 0;
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}
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