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Reduce binary shapes to 1-pixel-wide skeletons. Useful for shape analysis, handwriting recognition, and topology extraction.
Extract 1-pixel-wide skeletons from binary shapes using Zhang-Suen or Guo-Hall thinning.
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Thinning reduces a binary shape to a 1-pixel-wide representation (skeleton) while preserving the topology and connectivity. It is the morphological equivalent of finding the
Zhang-Suen is the classic iterative algorithm and works well for most shapes. Guo-Hall is a one-pass variant that can produce slightly different skeletons — it is faster but may leave more staircase artifacts.