• Media type: E-Article
  • Title: SEGMENTATION OF MULTIGRADATION IMAGES BASED ON SPATIAL CONNECTIVITY FEATURES
  • Contributor: Timchenko, Leonid; Kokriatskaya, Natalia; Tverdomed, Volodymyr; Stetsenko, Oleksandr; Kaplun, Valentina; Kolesnytskyj, Oleg K.; Reshetnik, Oleksandr; Smailova, Saule; Zhunissova, Ulzhalgas
  • imprint: Politechnika Lubelska, 2023
  • Published in: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
  • Language: Not determined
  • DOI: 10.35784/iapgos.5352
  • ISSN: 2391-6761; 2083-0157
  • Keywords: Electrical and Electronic Engineering ; Control and Systems Engineering
  • Origination:
  • Footnote:
  • Description: <jats:p>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.</jats:p>
  • Access State: Open Access