Development Parallel–Hierarchical Segmentation Method Based on Pyramidal Generalized Contour Preprocessing for Image Processing

The paper presents a novel method for automated image processing that combines pyramidal generalized contour preprocessing with parallel–hierarchical segmentation, integrating adaptive multilevel thresholding to enhance segmentation accuracy and robustness. The proposed approach is designed to overc...

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書目詳細資料

Principais autores:	Vaidas Lukoševičius, Leonid Tymchenko, Volodymyr Tverdomed, Natalia Kokriatska, Yurii Didenko, Mariia Demchenko, Iryna Voronko, Artūras Keršys, Audrius Povilionis
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2026-02-01
叢編:	Mathematics
主題:	PH-transformations image processing real-time image segmentation high-frequency filtering diagnostic methods rail damage
在線閱讀:	https://www.mdpi.com/2227-7390/14/5/802
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