openCV实现图像的角点检测

古城微笑少年丶 2022-06-12 05:09 237阅读 0赞

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：  
![这里写图片描述][SouthEast]

[SouthEast]: /images/20220612/dc3405afa26b4b8e9a1485eb9e071525.png