openCV实现图像的角点检测

历时一个多月，于今天上午终于将项目交上去了，这期间虽很辛苦，但是成长了不少，在此将项目中涉及到的知识点进行整理，本文主要介绍图像的角点检测：
一、代码部分：

// 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);  }  

二、检测效果图：