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100 lines
2.5 KiB
C++
100 lines
2.5 KiB
C++
/**
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* @function goodFeaturesToTrack_Demo.cpp
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* @brief Demo code for detecting corners using Shi-Tomasi method
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* @author OpenCV team
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*/
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#include "opencv2/imgcodecs.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.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 src, src_gray;
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int maxCorners = 23;
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int maxTrackbar = 100;
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RNG rng(12345);
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const char* source_window = "Image";
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/// Function header
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void goodFeaturesToTrack_Demo( 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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/// Load source image and convert it to gray
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CommandLineParser parser( argc, argv, "{@input | pic3.png | input image}" );
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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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cvtColor( src, src_gray, COLOR_BGR2GRAY );
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/// Create Window
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namedWindow( source_window );
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/// Create Trackbar to set the number of corners
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createTrackbar( "Max corners:", source_window, &maxCorners, maxTrackbar, goodFeaturesToTrack_Demo );
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imshow( source_window, src );
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goodFeaturesToTrack_Demo( 0, 0 );
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waitKey();
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return 0;
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}
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/**
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* @function goodFeaturesToTrack_Demo.cpp
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* @brief Apply Shi-Tomasi corner detector
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*/
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void goodFeaturesToTrack_Demo( int, void* )
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{
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/// Parameters for Shi-Tomasi algorithm
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maxCorners = MAX(maxCorners, 1);
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vector<Point2f> corners;
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double qualityLevel = 0.01;
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double minDistance = 10;
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int blockSize = 3, gradientSize = 3;
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bool useHarrisDetector = false;
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double k = 0.04;
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/// Copy the source image
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Mat copy = src.clone();
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/// Apply corner detection
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goodFeaturesToTrack( src_gray,
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corners,
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maxCorners,
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qualityLevel,
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minDistance,
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Mat(),
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blockSize,
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gradientSize,
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useHarrisDetector,
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k );
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/// Draw corners detected
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cout << "** Number of corners detected: " << corners.size() << endl;
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int radius = 4;
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for( size_t i = 0; i < corners.size(); i++ )
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{
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circle( copy, corners[i], radius, Scalar(rng.uniform(0,255), rng.uniform(0, 256), rng.uniform(0, 256)), FILLED );
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}
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/// Show what you got
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namedWindow( source_window );
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imshow( source_window, copy );
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}
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