opencv 对象骨架化

最新推荐文章于 2022-08-15 13:57:13 发布

Vinson

最新推荐文章于 2022-08-15 13:57:13 发布

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分类专栏：计算机视觉文章标签：人工智能

本文链接：https://blog.youkuaiyun.com/windshg/article/details/84390558

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本文介绍了如何利用OpenCV获取二进制图像中对象的骨架。主要通过距离变换、拉普拉斯运算和阈值处理等步骤实现。首先将图像转换为灰度，然后进行二值化。接着应用距离变换，再计算距离变换图像的拉普拉斯，最后通过阈值处理得到对象的骨架。需要注意在距离变换前可能需要进行形态学操作以去除噪声。

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How to get the skeleton of an object using OPENCV

http://pinkjade8848.spaces.live.com/blog/cns!E4159959CD42C507!195.entry

Skeletonization is a process for reducing foreground regions in a binary image to a skeletal remnant that largely preserves the extent and connectivity of the original region while throwing away most of the original foreground pixels. Generally speaking, there are 2 methods to obtain the skeleton.(I am not sure there are other methods.)

thinning

distance transform

OpenCV doesnot provide functions for skeletonization, but provides some functions on distance transform, so I use distance transform to complete this task.

Distance transform is an operator