【练习8.7】cvGoodFeaturesToTrack确定图像强角点、cvFindCornerSubPix亚像素级角点检测

页内索引

题目要求

程序代码

结果图片

要言妙道

借鉴参考

  

题目要求：

 黑色背景上创建一个白色拐角，使得这个角正好在整数值的坐标上，保存用OpenCV打开

a、找出并输出拐角的确切坐标

分别改变原始图像进行如下操作

b、用白边透明填充的圆将圆角遮住

c、用白边黑色填充的圆将圆角遮住

d、用黑色圆块将圆角遮住

程序代码：

// OpenCVExerciseTesting.cpp : 定义控制台应用程序的入口点。
//
//    string file_full_name = "D:\Work\Work_Programming\Source\Image\OpenCVExerciseImage\第8章\r20.jpg";


#include "stdafx.h"
#include<string>
#include <cv.h>
#include <highgui.h>
#include <iostream>
#include<math.h>

#include <opencv2/legacy/legacy.hpp>
//#pragma comment(lib, "opencv_legacy2411.lib")

using namespace cv;
using namespace std;

//函数声明-->--->-->--->-->--->-->--->//


//<--<--<--<--<--<--<--<--<--函数声明//

int _tmain(int argc, _TCHAR* argv[])
{
    string file_full_name = "D:\Work\Work_Programming\Source\Image\OpenCVExerciseImage\第8章\拐角.jpg";

    IplImage * image_source = cvLoadImage(file_full_name.c_str(), CV_LOAD_IMAGE_GRAYSCALE);
    CV_Assert(image_source);

    string file_full_name_2 = "D:\Work\Work_Programming\Source\Image\OpenCVExerciseImage\第8章\拐角2.jpg";

    IplImage * image_source_2 = cvLoadImage(file_full_name_2.c_str(), CV_LOAD_IMAGE_GRAYSCALE);
    CV_Assert(image_source_2);

    IplImage * images[2] = { image_source, image_source_2 };

    string window_name = "角度图像";
    for (int i = 0; i < 2; ++i)
    {
        window_name = window_name + "。";
        IplImage * image_gray = cvCloneImage(images[i]);
        IplImage * image_eig = cvCreateImage(cvGetSize(images[i]), IPL_DEPTH_32F, 1);
        cvZero(image_eig);
        IplImage* image_temp = cvCloneImage(image_eig);

        int corner_count = 5;
        CvPoint2D32f *corners = new CvPoint2D32f[corner_count];

        cvGoodFeaturesToTrack(image_gray, image_eig, image_temp, corners, &corner_count, 0.1, 10);

        IplImage * image_corner = cvCloneImage(image_gray);
        //cvZero(image_corner);
        cout << "cvGoodFeaturesToTrack:" << endl;
        for (int i = 0; i < corner_count; ++i)
        {
            cout << corners[i].x << "  " << corners[i].y << endl;
            cvDrawCircle(image_corner, cvPoint(corners[i].x, corners[i].y), 5, cvScalar(255));
        }

        cvNamedWindow(window_name.c_str(), CV_WINDOW_AUTOSIZE);
        cvShowImage(window_name.c_str(), image_corner);

        int half_win_size = 3;//the window size will be 3+1+3=7  
        int iteration = 20;
        double epislon = 0.1;

        cvFindCornerSubPix(image_gray, corners, corner_count
            , cvSize(half_win_size, half_win_size), cvSize(-1, -1)
            , cvTermCriteria(CV_TERMCRIT_ITER | CV_TERMCRIT_EPS, iteration, epislon));

        IplImage * image_subPix = cvCloneImage(image_gray);

        cout << "cvFindCornerSubPix:" << endl;
        for (int i = 0; i < corner_count; ++i)
        {
            cout << corners[i].x << "  " << corners[i].y << endl;
            cvDrawCircle(image_subPix, cvPoint(corners[i].x, corners[i].y), 5, cvScalar(255));
        }

        window_name = window_name + "。";
        cvShowImage(window_name.c_str(), image_subPix);

        cvReleaseImage(&image_gray);
        cvReleaseImage(&image_eig);
        cvReleaseImage(&image_temp);
        cvReleaseImage(&image_corner);
        cvReleaseImage(&image_subPix);
    }

    cvWaitKey(0);

    cvReleaseImage(&image_source);
    cvReleaseImage(&image_source_2);
    cvDestroyAllWindows();

    return 0;
}

结果图片：

要言妙道：

  

借鉴参考：