SEGMENTATION OF MULTIGRADATION IMAGES BASED ON SPATIAL CONNECTIVITY FEATURES

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

doi:10.35784/iapgos.5352

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Published: 2023-09-30

DOI: https://doi.org/10.35784/iapgos.5352

Issue Vol. 13 No. 3 (2023)

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SEGMENTATION OF MULTIGRADATION IMAGES BASED ON SPATIAL CONNECTIVITY FEATURES
Leonid Timchenko, Natalia Kokriatskaya, Volodymyr Tverdomed, Oleksandr Stetsenko, Valentina Kaplun, Oleg K. Kolesnytskyj, Oleksandr Reshetnik; Saule Smailova; Ulzhalgas Zhunissova

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Authors

Leonid Timchenko

tumchenko_li@gsuite.duit.edu.ua

State University of Infrastructure and Technology, Artificial Intelligence Systems and Telecommunication Technologies Department

https://orcid.org/0000-0001-5056-5913 (unauthenticated)

Natalia Kokriatskaya

kokryatska_ni@gsuite.duit.edu.ua

State University of Infrastructure and Technology, Artificial Intelligence Systems and Telecommunication Technologies Department

https://orcid.org/0000-0003-0090-3886 (unauthenticated)

Volodymyr Tverdomed

tverdomed@gsuite.duit.edu.ua

1State University of Infrastructure and Technology, Artificial Intelligence Systems and Telecommunication Technologies Department, 2Kyiv Institute of Railway Transport

http://orcid.org/0000-0002-0695-1304 (unauthenticated)

Oleksandr Stetsenko

stetsenko_oo@gsuite.duit.edu.ua

State University of Infrastructure and Technology, Artificial Intelligence Systems and Telecommunication Technologies Department

http://orcid.org/0000-0001-8359-0218 (unauthenticated)

Valentina Kaplun

valentina.kaplun@vntu.edu.ua

Vinnytsia National Technical University

http://orcid.org/0000-0003-4353-3694 (unauthenticated)

Oleg K. Kolesnytskyj

kolesnytskiy@vntu.edu.ua

Vinnytsia National Technical University

http://orcid.org/0000-0003-0336-4910 (unauthenticated)

Oleksandr Reshetnik

Degratnik@gmail.com

Vinnytsia National Technical University

http://orcid.org/0009-0006-7320-329X (unauthenticated)

Saule Smailova

Saule_Smailova@mail.ru

D.Serikbayev East Kazakhstan State Technical University

http://orcid.org/0000-0002-8411-3584 (unauthenticated)

Ulzhalgas Zhunissova

ulzhalgaszhunisova@gmail.com

Astana Medical University

http://orcid.org/0000-0001-5255-9314 (unauthenticated)

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.

Keywords:

image segmentation, image processing, halftone images, spatial connectivity

References

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SEGMENTATION OF MULTIGRADATION IMAGES BASED ON SPATIAL CONNECTIVITY FEATURES. (2023). Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 13(3), 47-50. https://doi.org/10.35784/iapgos.5352

SEGMENTATION OF MULTIGRADATION IMAGES BASED ON SPATIAL CONNECTIVITY FEATURES

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