zhang-suen-thinning | Suen thinning algorithm along with related pre | Computer Vision library

by yati-sagade C++ Version: Current License: MIT

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kandi X-RAY | zhang-suen-thinning Summary

zhang-suen-thinning is a C++ library typically used in Artificial Intelligence, Computer Vision, OpenCV, Example Codes applications. zhang-suen-thinning has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This is an adaptation of the Zhang-Suen thinning algorithm and related pre-processing and post-processing steps as presented in Algorithms for Image Processing and Computer Vision by JR Parker.

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Support

zhang-suen-thinning has a low active ecosystem.

It has 32 star(s) with 17 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of zhang-suen-thinning is current.

Quality

zhang-suen-thinning has 0 bugs and 0 code smells.

Security

zhang-suen-thinning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

zhang-suen-thinning code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

zhang-suen-thinning is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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zhang-suen-thinning releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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zhang-suen-thinning Key Features

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zhang-suen-thinning Examples and Code Snippets

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Community Discussions

Trending Discussions on zhang-suen-thinning

How to skeletonize an image in open cv c++

QUESTION

How to skeletonize an image in open cv c++

Asked 2017-Feb-17 at 18:11

I'm using the following code to skeletonize the following image in open cv 3 using c++. The input image is as follows.

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ANSWER

Answered 2017-Feb-17 at 18:11

It's an open problem.

This is a paper plus a working java program on the web that does more or less what you want. But it should still be thought of as experimental.

If you find this code useful in your research/software, please consider citing the following publication:

Andrés Solís Montero and Jochen Lang. Skeleton pruning by contour approximation and the integer medial axis transform. Computers & Graphics, Elsevier, 2012.

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