SEGMENTATION OF MULTIGRADATION IMAGES BASED ON SPATIAL CONNECTIVITY FEATURES

SEGMENTATION OF MULTIGRADATION IMAGES BASED ON SPATIAL CONNECTIVITY FEATURES

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...

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Veröffentlicht in:Informatyka, automatyka, pomiary w gospodarce i ochronie środowiska automatyka, pomiary w gospodarce i ochronie środowiska, 2023-09, Vol.13 (3), p.47-50
Hauptverfasser: Timchenko, Leonid, Kokriatskaya, Natalia, Tverdomed, Volodymyr, Stetsenko, Oleksandr, Kaplun, Valentina, Kolesnytskyj, Oleg K., Reshetnik, Oleksandr, Smailova, Saule, Zhunissova, Ulzhalgas
Format: Artikel
Sprache:eng
Schlagworte:
halftone images
image processing
image segmentation
spatial connectivity
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Beschreibung
Zusammenfassung: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.
ISSN:2083-0157
2391-6761
DOI:10.35784/iapgos.5352