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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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Principais autores: Vaidas Lukoševičius, Leonid Tymchenko, Volodymyr Tverdomed, Natalia Kokriatska, Yurii Didenko, Mariia Demchenko, Iryna Voronko, Artūras Keršys, Audrius Povilionis
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-02-01
Serier:Mathematics
Fag:
PH-transformations
image processing
real-time image segmentation
high-frequency filtering
diagnostic methods
rail damage
Online adgang:https://www.mdpi.com/2227-7390/14/5/802
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