简单的多二进制检测二进制图像？ [英] Simple Multi-Blob Detection of a Binary Image?

问题描述

如果存在图像的给定2d阵列，其中阈值已经完成，现在是二进制信息。

If there is a given 2d array of an image, where threshold has been done and now is in binary information.

是否有任何特定的方法来处理此图片，以获取图片上的多个blob坐标？

Is there any particular way to process this image to that I get multiple blob's coordinates on the image?

我不能使用openCV，因为这个过程需要在C上的自定义模拟器上同时运行10个模拟机器人。

I can't use openCV because this process needs to run simultaneously on 10+ simulated robots on a custom simulator in C.

我需要blob的xy坐标，但首先我需要首先找到那些多个blob。

I need the blobs xy coordinates, but first I need to find those multiple blobs first.

像素组大小的最简单的标准应该足够了。但我没有任何线索如何开始编码。

Simplest criteria of pixel group size should be enough. But I don't have any clue how to start the coding.

PS：单一blob应该没问题。问题是多个blob。

PS: Single blob should be no problem. Problem is multiple blobs.

只是一个开始？

推荐答案

查看 QuickBlob ，它是一个非常适合您需要的小型独立C库。

Have a look at QuickBlob which is a small, standalone C library that sounds perfectly suited for your needs.

QuickBlob附带一个小命令行工具c $ c> csv-blobs ），它输出在输入图像中发现的每个blob的位置和大小：

QuickBlob comes with a small command-line tool (csv-blobs) that outputs the position and size of each blob found within the input image:

./csv-blobs white image.png
X,Y,size,color
28.37,10.90,41,white
51.64,10.36,42,white
...

下面是一个例子（输出图片是由于 show -blobs.py QuickBlob附带的微小的Python实用程序）：

Here's an example (output image is produced thanks to the show-blobs.py tiny Python utility that comes with QuickBlob):

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