OpenCV cvFindContours - 如何分离轮廓的组件

问题描述

我一直在使用 OpenCV，并且通过大量的试验和错误成功地学习了如何检测照片中的圆圈(硬币).一切都很好，除了我将硬币直接放在彼此旁边(如下所示，忽略第二张图片倒置的事实).

I've been playing around with OpenCV and with alot of trial and error have managed to learn how to detect circles (coins) in a photo. Everything is working great, except when I place coins directly next to each other (as seen below, ignore the fact that the 2nd image is upside down).

似乎是因为硬币靠得很近，cvFindContours 认为它​​们是同一个物体.我的问题是如何将这些轮廓分成单独的对象，或者获取已经分离的轮廓列表.

It seems because the coins are so close together cvFindContours think they are the same object. My question is how can I separate these contours into their separate objects, or get a list of contours that are already separated.

我用于 cvFindContours 的参数是:

The parameters I used for cvFindContours are:

cvFindContours( img, storage, &contour, sizeof(CvContour), CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE, cvPoint(0, 0) );

任何帮助或建议将不胜感激.

Any help or advice would be greatly appreciated.

推荐答案

这不是很好，但它显示了如何到达那里:

This is not great, but it shows how to get there:

IplImage* src = cvLoadImage(argv[1], CV_LOAD_IMAGE_UNCHANGED);
IplImage* gray = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1);
cvCvtColor(src, gray, CV_BGR2GRAY);
cvSmooth(gray, gray, CV_GAUSSIAN, 7, 7);

IplImage* cc_img = cvCreateImage(cvGetSize(gray), gray->depth, 3);
cvSetZero(cc_img);
CvScalar(ext_color);

cvCanny(gray, gray, 10, 30, 3);

CvMemStorage* storage = cvCreateMemStorage(0);
CvSeq* circles = cvHoughCircles(gray, storage, CV_HOUGH_GRADIENT, 1, src->height/6, 100, 50);
cvCvtColor(gray, src, CV_GRAY2BGR);
for (size_t i = 0; i < circles->total; i++)
{
     // round the floats to an int
     float* p = (float*)cvGetSeqElem(circles, i);
     cv::Point center(cvRound(p[0]), cvRound(p[1]));
     int radius = cvRound(p[2]);

     // draw the circle center
     //cvCircle(cc_img, center, 3, CV_RGB(0,255,0), -1, 8, 0 );

     // draw the circle outline
     cvCircle(cc_img, center, radius+1, CV_RGB(0,0,255), 2, 8, 0 );

     //printf("x: %d y: %d r: %d
", center.x, center.y, radius);
}

CvMemStorage *mem;
mem = cvCreateMemStorage(0);
CvSeq *contours = 0;
cvCvtColor(cc_img, gray, CV_BGR2GRAY);
// Use either this:
int n = cvFindContours(gray, mem, &contours, sizeof(CvContour), CV_RETR_CCOMP, CV_CHAIN_APPROX_NONE, cvPoint(0,0));
// Or this:
//int n = cvFindContours(gray, mem, &contours, sizeof(CvContour), CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0));

for (; contours != 0; contours = contours->h_next)
{
    ext_color = CV_RGB( rand()&255, rand()&255, rand()&255 ); //randomly coloring different contours
    cvDrawContours(cc_img, contours, ext_color, CV_RGB(0,0,0), -1, CV_FILLED, 8, cvPoint(0,0));
}

cvSaveImage("out.png", cc_img);

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