Shi-Tomasi角点检测子

目标

在这个教程中我们将涉及:

• 使用函数  来调用Shi-Tomasi方法检测角点。

理论

代码

这个教程的代码如下所示。源代码还可以从 

#include "opencv2/highgui/highgui.hpp"#include "opencv2/imgproc/imgproc.hpp"#include 
       
        #include 
        
         #include 
         
          using namespace cv; using namespace std; /// Global variables Mat src, src_gray; int maxCorners = 23; int maxTrackbar = 100; RNG rng(12345); char* source_window = "Image"; /// Function header void goodFeaturesToTrack_Demo( int, void* ); /** * @function main */ int main( int argc, char** argv ) { /// Load source image and convert it to gray src = imread( argv[1], 1 ); cvtColor( src, src_gray, CV_BGR2GRAY ); /// Create Window namedWindow( source_window, CV_WINDOW_AUTOSIZE ); /// Create Trackbar to set the number of corners createTrackbar( "Max corners:", source_window, &maxCorners, maxTrackbar, goodFeaturesToTrack_Demo ); imshow( source_window, src ); goodFeaturesToTrack_Demo( 0, 0 ); waitKey(0); return(0); } /** * @function goodFeaturesToTrack_Demo.cpp * @brief Apply Shi-Tomasi corner detector */ void goodFeaturesToTrack_Demo( int, void* ) { if( maxCorners < 1 ) { maxCorners = 1; } /// Parameters for Shi-Tomasi algorithm vector
          
            corners; double qualityLevel = 0.01; double minDistance = 10; int blockSize = 3; bool useHarrisDetector = false; double k = 0.04; /// Copy the source image Mat copy; copy = src.clone(); /// Apply corner detection goodFeaturesToTrack( src_gray, corners, maxCorners, qualityLevel, minDistance, Mat(), blockSize, useHarrisDetector, k ); /// Draw corners detected cout<<"** Number of corners detected: "<
           
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