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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Detalhes bibliográficos

Principais autores:	Vaidas Lukoševičius, Leonid Tymchenko, Volodymyr Tverdomed, Natalia Kokriatska, Yurii Didenko, Mariia Demchenko, Iryna Voronko, Artūras Keršys, Audrius Povilionis
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-02-01
coleção:	Mathematics
Assuntos:	PH-transformations image processing real-time image segmentation high-frequency filtering diagnostic methods rail damage
Acesso em linha:	https://www.mdpi.com/2227-7390/14/5/802
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