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Истончение/скелетонизация

Уменьшите бинарные фигуры до скелетов шириной в 1 пиксель. Полезно для анализа форм, распознавания рукописного текста и извлечения топологии.

Скелетируйте бинарные фигуры в осевые линии шириной 1 пиксель с помощью прореживания Чжан-Суэна или Го-Холла для оптического распознавания символов и анализа формы.

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Frequently Asked Questions

What is thinning / skeletonization?

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 vs Guo-Hall?

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.

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