opencv关于椭圆检测

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第一种：

#include "opencv2/imgproc.hpp"#include "opencv2/imgcodecs.hpp"#include "opencv2/highgui.hpp"#include <iostream>using namespace cv;using namespace std;int sliderPos = 70;Mat image;void processImage(int, void*);int main( int argc, char** argv ){    image = imread("C:\\Users\\Administrator\\Desktop\\20140528\\129.bmp", 0);    if( image.empty() )    {        cout << "Couldn't open image "  << "\n";        return 0;    }    namedWindow("result", 1);    // Create toolbars. HighGUI use.    createTrackbar( "threshold", "result", &sliderPos, 255, processImage );    processImage(0, 0);    // Wait for a key stroke; the same function arranges events processing    waitKey();    return 0;}// Define trackbar callback functon. This function find contours,// draw it and approximate it by ellipses.void processImage(int /*h*/, void*){    vector<vector<Point> > contours;    Mat bimage = image >= sliderPos;    findContours(bimage, contours, RETR_LIST, CHAIN_APPROX_NONE);    Mat cimage = Mat::zeros(bimage.size(), CV_8UC3);    for(size_t i = 0; i < contours.size(); i++)    {        size_t count = contours[i].size();        if( count < 6 )            continue;        Mat pointsf;        Mat(contours[i]).convertTo(pointsf, CV_32F);        RotatedRect box = fitEllipse(pointsf);        if( MAX(box.size.width, box.size.height) > MIN(box.size.width, box.size.height)*30 )            continue;        drawContours(cimage, contours, (int)i, Scalar::all(255), 1, 8);        ellipse(cimage, box, Scalar(0,0,255), 1, LINE_AA);        ellipse(cimage, box.center, box.size*0.5f, box.angle, 0, 360, Scalar(0,255,255), 1, LINE_AA);        Point2f vtx[4];        box.points(vtx);        for( int j = 0; j < 4; j++ )            line(cimage, vtx[j], vtx[(j+1)%4], Scalar(0,255,0), 1, LINE_AA);    }    imshow("result", cimage);}

第二种：

Mat qxAlgorithm::checkEllipse(Mat src){    Mat  gray;if( !src.data )return gray;    cvtColor( src, gray, CV_BGR2GRAY );//高斯模糊平滑    GaussianBlur( gray, gray, Size(3, 3), 2, 2 );    vector<Vec3f> circles;    circles.clear ();//霍夫变换    HoughCircles( gray, circles, CV_HOUGH_GRADIENT, 1, 50, 50, 50, 0,100 );//在原图中画出圆心和圆for( size_t i = 0; i < circles.size(); i++ )    {//提取出圆心坐标        Point center(cvRound(circles[i][0]), cvRound(circles[i][1]));//提取出圆半径int radius = cvRound(circles[i][2]);//圆心        circle( src, center, 3, Scalar(0,255,0), -1, 8, 0 );//圆        circle( src, center, radius, Scalar(0,0,255), 3, 8, 0 );   }    return src;}

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