SEGMENTATION OF MULTIGRADATION IMAGES BASED ON SPATIAL CONNECTIVITY FEATURES
Leonid Timchenko
tumchenko_li@gsuite.duit.edu.uaState University of Infrastructure and Technology, Artificial Intelligence Systems and Telecommunication Technologies Department (Ukraine)
https://orcid.org/0000-0001-5056-5913
Natalia Kokriatskaya
State University of Infrastructure and Technology, Artificial Intelligence Systems and Telecommunication Technologies Department (Ukraine)
https://orcid.org/0000-0003-0090-3886
Volodymyr Tverdomed
1State University of Infrastructure and Technology, Artificial Intelligence Systems and Telecommunication Technologies Department, 2Kyiv Institute of Railway Transport (Ukraine)
http://orcid.org/0000-0002-0695-1304
Oleksandr Stetsenko
State University of Infrastructure and Technology, Artificial Intelligence Systems and Telecommunication Technologies Department (Ukraine)
http://orcid.org/0000-0001-8359-0218
Valentina Kaplun
Vinnytsia National Technical University (Ukraine)
http://orcid.org/0000-0003-4353-3694
Oleg K. Kolesnytskyj
Vinnytsia National Technical University (Ukraine)
http://orcid.org/0000-0003-0336-4910
Oleksandr Reshetnik
Vinnytsia National Technical University (Ukraine)
http://orcid.org/0009-0006-7320-329X
Saule Smailova
D.Serikbayev East Kazakhstan State Technical University (Kazakhstan)
http://orcid.org/0000-0002-8411-3584
Ulzhalgas Zhunissova
Astana Medical University (Kazakhstan)
http://orcid.org/0000-0001-5255-9314
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 connectivityReferences
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Authors
Leonid Timchenkotumchenko_li@gsuite.duit.edu.ua
State University of Infrastructure and Technology, Artificial Intelligence Systems and Telecommunication Technologies Department Ukraine
https://orcid.org/0000-0001-5056-5913
Authors
Natalia KokriatskayaState University of Infrastructure and Technology, Artificial Intelligence Systems and Telecommunication Technologies Department Ukraine
https://orcid.org/0000-0003-0090-3886
Authors
Volodymyr Tverdomed1State University of Infrastructure and Technology, Artificial Intelligence Systems and Telecommunication Technologies Department, 2Kyiv Institute of Railway Transport Ukraine
http://orcid.org/0000-0002-0695-1304
Authors
Oleksandr StetsenkoState University of Infrastructure and Technology, Artificial Intelligence Systems and Telecommunication Technologies Department Ukraine
http://orcid.org/0000-0001-8359-0218
Authors
Valentina KaplunVinnytsia National Technical University Ukraine
http://orcid.org/0000-0003-4353-3694
Authors
Oleg K. KolesnytskyjVinnytsia National Technical University Ukraine
http://orcid.org/0000-0003-0336-4910
Authors
Oleksandr ReshetnikVinnytsia National Technical University Ukraine
http://orcid.org/0009-0006-7320-329X
Authors
Saule SmailovaD.Serikbayev East Kazakhstan State Technical University Kazakhstan
http://orcid.org/0000-0002-8411-3584
Authors
Ulzhalgas ZhunissovaAstana Medical University Kazakhstan
http://orcid.org/0000-0001-5255-9314
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