OpenCV实现图像角点检测

// Detect_Corners.cpp : 定义控制台应用程序的入口点。//#include "stdafx.h"#include "opencv2/opencv.hpp"  #include <opencv2/imgproc/imgproc.hpp> #include <iostream>#include "opencv2/highgui/highgui.hpp"   #include <stdio.h> #include <stdlib.h> using namespace std;using namespace cv;//全局变量 Mat src, src_gray; int thresh = 200; int max_thresh = 255; char* source_window = "Source image"; //char* corners_window = "Corners detected";//函数声明 void cornerHarris_demo(int, void*); int _tmain(int argc, _TCHAR* argv[]){   //Load source image and convert it to gray  char *img_name="..//image//71254.png";  src=imread(img_name);  imshow(source_window,src);  cvtColor(src, src_gray, CV_BGR2GRAY);   createTrackbar("Threshold: ", source_window, &thresh, max_thresh, cornerHarris_demo);  waitKey(0);  //角点检测  cornerHarris_demo(0,0);   return 0;}/** 函数 cornerHarris_demo */  void cornerHarris_demo( int, void*) {   Mat dst, dst_norm,dst_norm_scaled;   dst = Mat::zeros(src.size(), CV_32FC1 );   // Detector parameters   int blockSize = 2;   int apertureSize = 3;   double k = 0.04;   // Detecting corners   cornerHarris( src_gray, dst, blockSize, apertureSize, k, BORDER_DEFAULT );   // Normalizing   normalize( dst, dst_norm, 0, 255, NORM_MINMAX, CV_32FC1, Mat() );   convertScaleAbs( dst_norm, dst_norm_scaled );    // Drawing a circle around corners   for( int j = 0; j < dst_norm.rows ; j++ )    { for( int i = 0; i < dst_norm.cols; i++ )      {       if( (int) dst_norm.at<float>(j,i) > thresh )        {          circle( dst_norm_scaled, Point(i, j), 5, Scalar(0), 2, 8, 0 );          circle(src,Point( i, j ), 5, Scalar(255,0,0), -1, 8, 0 );        }      }     }    // Showing the result   imshow( source_window, src); }