SEGMENTATION OF MULTIGRADATION IMAGES BASED ON SPATIAL CONNECTIVITY FEATURES
SEGMENTACJA OBRAZÓW WIELOGRADACYJNYCH NA PODSTAWIE CECH ŁĄCZNOŚCI PRZESTRZENNEJ
Timchenko L. Kokriatskaya N. Tverdomed V. Stetsenko O. Kaplun V. Kolesnytskyj O.K. Reshetnik O. Smailova S. Zhunissova U.
2023Politechnika Lubelska
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Srodowiska
2023#13Issue 347 - 50 pp.
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.
halftone images , image processing , image segmentation , spatial connectivity
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State University of Infrastructure and Technology, Artificial Intelligence Systems and Telecommunication Technologies Department, Kyiv, Ukraine
Kyiv Institute of Railway Transport, Kyiv, Ukraine
Vinnytsia National Technical University, Vinnytsia, Ukraine
D.Serikbayev East Kazakhstan State Technical University, Ust-Kamenogorsk, Kazakhstan
Astana Medical University, Astana, Kazakhstan
State University of Infrastructure and Technology
Kyiv Institute of Railway Transport
Vinnytsia National Technical University
D.Serikbayev East Kazakhstan State Technical University
Astana Medical University
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Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026