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我是openCV的新手，但我想创建虹膜识别程序。尽管带有网络摄像头的系统可以检测到眼睛，但它无法检测到圆形虹膜。我正在使用霍夫圆变换。但是如果图像中的虹膜不够圆，系统就无法检测到它。有什么解决办法吗？

使用的算法是霍夫圆变换。

IplImage *capturedImg = cvLoadImage("circle.jpg",1);
IplImage *grayscaleImg = cvCreateImage(cvGetSize(capturedImg), 8, 1);

cvCvtColor(capturedImg, grayscaleImg, CV_BGR2GRAY);

// Gaussian filter for less noise
cvSmooth(grayscaleImg, grayscaleImg, CV_GAUSSIAN,9, 9 );

//Detect the circles in the image
CvSeq* circles = cvHoughCircles(grayscaleImg,
                         storage,
                         CV_HOUGH_GRADIENT,
                         2,
                         grayscaleImg->height/4,
                         200,
                     100 );

for (i = 0; i < circles->total; i++) 
{
     float* p = (float*)cvGetSeqElem( circles, i );
     cvCircle( capturedImg, cvPoint(cvRound(p[0]),cvRound(p[1])), 
        3, CV_RGB(0,255,0), -1, 8, 0 );
     cvCircle( capturedImg, cvPoint(cvRound(p[0]),cvRound(p[1])), 
         cvRound(p[2]), CV_RGB(0,0,255), 3, 8, 0 );
}
// cvCircle( img,cvPoint( r->x, r->y ),67, CV_RGB(255,0,0), 3, 8, 0 );      
cvNamedWindow( "circles", 1 );
cvShowImage( "circles", capturedImg );
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1 回答 1

6

Add a call to cvCanny() between cvSmooth() and cvHoughCircles(). This will execute an edge detection algorithm which is going to provide a better input image for cvHoughCircles() and will probably improve your results.

There's a lot of similar questions on Stackoverflow, I suggest you use the search box.

于 2012-09-25T13:53:36.147 回答