OpenCV3_C++_DetectConers()图像上角检测 实例

Opencv3 的开发环境安装和导入请看

http://blog.csdn.net/sileixinhua/article/details/71175748

所有的OpenCV3_C++实例代码请看

https://github.com/sileixinhua/OpenCV_C-_tutorials

实例

#include "stdafx.h"#include <opencv2/opencv.hpp>#pragma comment(lib,"opencv_world330.lib")//using namespace cv;//using namespace std;//去掉以上两行代码注释之后就可以不用在下面的代码中加上cv::和std:://cv::为OpenCV的函数库//std::为C++的标准函数库int DetectConers() {    cv::Mat src, gray, dst;    const int maxCorners = 50, blockSize = 3;    const double qualityLevel = 0.01, minDistance = 20.0, k = 0.04;    const bool useHarrisDetector = false;    std::vector< cv::Point2f > corners;    const char* filename = "C:\\Code\\FirstOpenCVProgramming\\lena.jpg";    cv::imread(filename).copyTo(src);    if (src.empty()) {        throw("Faild open file.");    }    dst = src.clone();    cvtColor(src,gray,cv::COLOR_RGB2GRAY);    goodFeaturesToTrack(gray, corners, maxCorners, qualityLevel,        minDistance, cv::Mat(), blockSize, useHarrisDetector, k);    //图像上角检测    for (size_t i = 0; i < corners.size(); i++) {        circle(dst,corners[i],8,cv::Scalar(255,255,0),2);    }    //图像上确认有角的地方画圈    cv::imshow("src", src);    cv::imshow("dst", dst);    cv::imwrite("C:\\Code\\FirstOpenCVProgramming\\DetectConers.jpg", dst);    cv::waitKey();    return 0;}int main(){    //以下的方法如果想运行，直接把前头的注释去掉即可    //运行代码的时候请改掉filename里的地址    //我的opencv是安装在C盘目录下    //一些目录地址请自行修改一下    DetectConers(); // 图像上角检测    return 0;}

原图像

结果图像