SEGMENTATION OF MULTIGRADATION IMAGES BASED ON SPATIAL CONNECTIVITY FEATURES-Reference-Cited by-同舟云学术

SEGMENTATION OF MULTIGRADATION IMAGES BASED ON SPATIAL CONNECTIVITY FEATURES

Published:2023-09-30 Issue:3 Volume:13 Page:47-50
ISSN:2391-6761
Container-title:Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
language:
Short-container-title:IAPGOS

Author:

Timchenko Leonid^ORCID,Kokriatskaya Natalia^ORCID,Tverdomed Volodymyr^ORCID,Stetsenko Oleksandr^ORCID,Kaplun Valentina^ORCID,Kolesnytskyj Oleg K.^ORCID,Reshetnik Oleksandr^ORCID,Smailova Saule^ORCID,Zhunissova Ulzhalgas^ORCID

Abstract

The article aims to study the multi-level segmentation process of images of arbitrary configuration and placement based on features of spatial connectivity. Existing image processing algorithms are analyzed, and their advantages and disadvantages are determined. A method of organizing the process of segmentation of multi-gradation halftone images is developed and an algorithm of actions according to the described method is given.

Publisher

Politechnika Lubelska

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

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