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https://github.com/opencv/opencv.git
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Laurent Berger
9742c73254
Fix image loading in tutorials code #23442 Fixes https://github.com/opencv/opencv/issues/23378 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [X] I agree to contribute to the project under Apache 2 License. - [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [X] The PR is proposed to the proper branch - [X] There is a reference to the original bug report and related work - [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [X] The feature is well documented and sample code can be built with the project CMake
108 lines
2.8 KiB
C++
108 lines
2.8 KiB
C++
/**
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* @file BackProject_Demo1.cpp
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* @brief Sample code for backproject function usage
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* @author OpenCV team
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*/
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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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/// Global Variables
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Mat hue;
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int bins = 25;
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/// Function Headers
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void Hist_and_Backproj(int, void* );
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/**
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* @function main
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*/
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int main( int argc, char* argv[] )
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{
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//! [Read the image]
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CommandLineParser parser( argc, argv, "{@input |Back_Projection_Theory0.jpg| input image}" );
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samples::addSamplesDataSearchSubDirectory("doc/tutorials/imgproc/histograms/back_projection/images");
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Mat src = imread(samples::findFile(parser.get<String>( "@input" )) );
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if( src.empty() )
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{
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cout << "Could not open or find the image!\n" << endl;
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cout << "Usage: " << argv[0] << " <Input image>" << endl;
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return -1;
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}
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//! [Read the image]
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//! [Transform it to HSV]
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Mat hsv;
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cvtColor( src, hsv, COLOR_BGR2HSV );
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//! [Transform it to HSV]
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//! [Use only the Hue value]
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hue.create(hsv.size(), hsv.depth());
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int ch[] = { 0, 0 };
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mixChannels( &hsv, 1, &hue, 1, ch, 1 );
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//! [Use only the Hue value]
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//! [Create Trackbar to enter the number of bins]
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const char* window_image = "Source image";
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namedWindow( window_image );
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createTrackbar("* Hue bins: ", window_image, &bins, 180, Hist_and_Backproj );
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Hist_and_Backproj(0, 0);
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//! [Create Trackbar to enter the number of bins]
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//! [Show the image]
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imshow( window_image, src );
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// Wait until user exits the program
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waitKey();
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//! [Show the image]
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return 0;
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}
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/**
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* @function Hist_and_Backproj
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* @brief Callback to Trackbar
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*/
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void Hist_and_Backproj(int, void* )
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{
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//! [initialize]
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int histSize = MAX( bins, 2 );
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float hue_range[] = { 0, 180 };
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const float* ranges[] = { hue_range };
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//! [initialize]
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//! [Get the Histogram and normalize it]
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Mat hist;
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calcHist( &hue, 1, 0, Mat(), hist, 1, &histSize, ranges, true, false );
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normalize( hist, hist, 0, 255, NORM_MINMAX, -1, Mat() );
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//! [Get the Histogram and normalize it]
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//! [Get Backprojection]
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Mat backproj;
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calcBackProject( &hue, 1, 0, hist, backproj, ranges, 1, true );
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//! [Get Backprojection]
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//! [Draw the backproj]
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imshow( "BackProj", backproj );
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//! [Draw the backproj]
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//! [Draw the histogram]
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int w = 400, h = 400;
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int bin_w = cvRound( (double) w / histSize );
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Mat histImg = Mat::zeros( h, w, CV_8UC3 );
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for (int i = 0; i < bins; i++)
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{
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rectangle( histImg, Point( i*bin_w, h ), Point( (i+1)*bin_w, h - cvRound( hist.at<float>(i)*h/255.0 ) ),
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Scalar( 0, 0, 255 ), FILLED );
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}
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imshow( "Histogram", histImg );
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//! [Draw the histogram]
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}
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