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I have skeletonized 2D and 3D images as follows:

2D skeleton

3D skeleton

Now, I want to analyze the skeletons in python and obtain the following information:

  1. The location of nodes.
  2. The adjacency list.
  3. The connectivity (the number of continuous skeletons in an image).

Is there any approach to do this in python?

Mehdi MA.
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  • The 3D is impossible unless you can generate an image looking from a different direction; – ravenspoint Feb 15 '23 at 19:43
  • Thanks. The image j and Avizo do this for 3D skeletons (however, I want to get the information using python). – Mehdi MA. Feb 15 '23 at 19:50
  • Whatever language you use, 3D is impossible without images looking from a different direction – ravenspoint Feb 15 '23 at 20:39
  • Can you please clarify what do you mean by generating an image looking from a different direction? What would be the next step? – Mehdi MA. Feb 16 '23 at 06:08
  • The standard would be a view from the front, a view from both sides and one from the back i.e. a view from the four compass points. From above and below may often be neccessary too. See this diagram https://www.mdpi.com/applsci/applsci-11-07536/article_deploy/html/images/applsci-11-07536-g002-550.jpg – ravenspoint Feb 16 '23 at 15:03

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