Methods and Models for Identification of Extended Information Objects Using Cellular Automata

The article explores the application of the approach using lattice models and the theory of cellular automata in identifying extended objects in images obtained during monitoring of urbanized areas. Such images have a certain degree of "blurriness" caused not only by the limitations of the...

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Bibliographic Details
Main Authors: Sergey Kramarov, Vladimir Khramov, Olga Mityasova, Anatoliy Bocharov, Elena Grebeniuk
Format: Article
Language:Russian
Published: The Fund for Promotion of Internet media, IT education, human development «League Internet Media» 2021-09-01
Series:Современные информационные технологии и IT-образование
Subjects:
Online Access:http://sitito.cs.msu.ru/index.php/SITITO/article/view/784