Hough Circle Example

fanbird2008

于 2013-12-23 12:00:57 发布

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分类专栏： Graphics Image/OpenCV

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本文介绍了一种使用OpenCV库进行圆形检测的方法。通过将彩色图像转换为灰度图像，并应用高斯模糊来减少噪声，然后利用霍夫变换检测圆形。最后在原图上标记出检测到的圆形。

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#include "opencv2/opencv.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"

#include <math.h>

using namespace cv;

int main(int argc, char** argv)
{
Mat img, gray;

img = imread(argv[1], 1);

if(! img.data) return -1;

    cvtColor(img, gray, CV_BGR2GRAY);
    // smooth it, otherwise a lot of false circles may be detected
    GaussianBlur( gray, gray, Size(9, 9), 2, 2 );
    vector<Vec3f> circles;
    HoughCircles(gray, circles, CV_HOUGH_GRADIENT,   2, gray.rows/4, 200, 100 );
    for( size_t i = 0; i < circles.size(); i++ )
    {
         Point center(cvRound(circles[i][0]), cvRound(circles[i][1]));
         int radius = cvRound(circles[i][2]);
         // draw the circle center
         circle( img, center, 3, Scalar(0,255,0), -1, 8, 0 );
         // draw the circle outline
         circle( img, center, radius, Scalar(0,0,255), 3, 8, 0 );
    }
    namedWindow( "circles", 1 );
    imshow( "circles", img );

waitKey(0);

return 0;
}