C++ OpenCV 中的 Blob 提取
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Blob extraction in OpenCV
提问by amr
I'm using OpenCV to filter an image for certain colours, so I've got a binary image of the detected regions.
我正在使用 OpenCV 过滤某些颜色的图像，所以我得到了检测区域的二进制图像。
Now I want to erode those areas and then get rid of the smaller ones, and find the x,y coordinates of the largest 'blob'
现在我想侵蚀这些区域，然后去掉较小的区域，然后找到最大的“斑点”的 x,y 坐标
I was looking for recommendations as to what the best library would be to use? I've seen cvBlob and cvBlobsLib but I'm not too sure how to set them up. Do I want to compile them along with the project or do I want to compile and install them to the system (like I did with OpenCV)?
我正在寻找有关使用最佳库的建议？我见过 cvBlob 和 cvBlobsLib 但我不太确定如何设置它们。我是想将它们与项目一起编译还是想将它们编译并安装到系统中（就像我使用 OpenCV 所做的那样）？
I'm currently using the Code::Blocks IDE on Ubuntu (although that shouldn't restrict things)
我目前在 Ubuntu 上使用 Code::Blocks IDE（虽然这不应该限制事情）
采纳答案by Jason Newton
I'm late to the party, but I'd just like to chime in that there is a way to do connected components in opencv, it's just not mainlined yet.
我参加聚会迟到了，但我想补充一下，有一种方法可以在 opencv 中进行连接组件，只是还没有主流化。
Update: It is mainlined, it's just been stuck waiting for 3.0 to release for multiple years. Linky to documentation
更新：它是主线，它只是被困在等待 3.0 发布多年。 链接到文档
See http://code.opencv.org/issues/1236and http://code.opencv.org/attachments/467/opencv-connectedcomponents.patch
请参阅http://code.opencv.org/issues/1236和http://code.opencv.org/attachments/467/opencv-connectedcomponents.patch
Disclaimer - I'm the author.
免责声明 - 我是作者。
回答by etarion
You can use findContoursto do that, see the opencv manualand a Tutorial to find connected components.
您可以使用它findContours来执行此操作，请参阅opencv 手册和查找连接组件的教程。
Edit: Code from the tutorial (via Archive.org)
编辑：教程中的代码（通过 Archive.org）
#include <stdio.h>
#include <cv.h>
#include <highgui.h>
int main(int argc, char *argv[])
{
IplImage *img, *cc_color; /*IplImage is an image in OpenCV*/
CvMemStorage *mem;
CvSeq *contours, *ptr;
img = cvLoadImage(argv[1], 0); /* loads the image from the command line */
cc_color = cvCreateImage(cvGetSize(img), IPL_DEPTH_8U, 3);
cvThreshold(img, img, 150, 255, CV_THRESH_BINARY);
mem = cvCreateMemStorage(0);
cvFindContours(img, mem, &contours, sizeof(CvContour), CV_RETR_CCOMP,
CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0));
for (ptr = contours; ptr != NULL; ptr = ptr->h_next) {
CvScalar color = CV_RGB( rand()&255, rand()&255, rand()&255 );
cvDrawContours(cc_color, ptr, color, CV_RGB(0,0,0), -1, CV_FILLED, 8, cvPoint(0,0));
}
cvSaveImage("result.png", cc_color);
cvReleaseImage(&img);
cvReleaseImage(&cc_color);
return 0;
}
回答by Paul R
Unfortunately OpenCV doesn't have any connected component labelling functionality, which seems like a serious omission for a computer vision library. Anyway I had a similar requirement recently so I implemented my own CCL routine - there are a couple of different algorithms described on the CCL Wikipedia pageand they are both pretty simple to implement.
不幸的是，OpenCV 没有任何连接组件标记功能，这对于计算机视觉库来说似乎是一个严重的遗漏。无论如何，我最近有一个类似的要求，所以我实现了自己的 CCL 例程 - CCL 维基百科页面上描述了几种不同的算法，它们都非常易于实现。
回答by Jorge Vega Sánchez
I think the best and easy option to work with blobs with OpenCV is to use cvBlob library. Its a complemntary library with OpenCV a its so easy to use.
我认为使用 OpenCV 处理 blob 的最佳和最简单的选择是使用 cvBlob 库。它是 OpenCV 的补充库，非常易于使用。
