C语言 OpenCV cvFindContours - 如何分离轮廓的组成部分
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OpenCV cvFindContours - how do I separate components of a contour
提问by Grinneh
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).
我一直在玩 OpenCV，经过大量的反复试验，我设法学会了如何检测照片中的圆圈（硬币）。一切都很好，除非我将硬币直接放在彼此旁边（如下所示，忽略第二张图像颠倒的事实）。
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.
似乎是因为硬币靠得很近，cvFindContours 认为它们是同一个对象。我的问题是如何将这些轮廓分成单独的对象，或者获取已分离的轮廓列表。
The parameters I used for cvFindContours are:
我用于 cvFindContours 的参数是：
cvFindContours( img, storage, &contour, sizeof(CvContour), CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE, cvPoint(0, 0) );
Any help or advice would be greatly appreciated.
任何帮助或建议将不胜感激。
采纳答案by karlphillip
This is not great, but it shows how to get there:
这不是很好，但它显示了如何到达那里：
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\n", 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);
回答by Karl Voigtland
You could try thresholding (cvThreshold) the image and then erode (cvErode) the resulting binary image to separate the coins. Then find the contours of the eroded image.
您可以尝试对图像进行阈值处理（cvThreshold），然后腐蚀（cvErode）生成的二进制图像以分离硬币。然后找到侵蚀图像的轮廓。
