Active Contours Method Implementation for Objects Selection in the Mobile Robot’s Workspace

Публікація:
Active Contours Method Implementation for Objects Selection in the Mobile Robot’s Workspace

dc.contributor.author	Yevsieiev, V.
dc.contributor.author	Maksymova, S.
dc.contributor.author	Starodubtsev, N.
dc.contributor.author	Amer Abu-Jassar
dc.date.accessioned	2024-07-22T17:44:44Z
dc.date.available	2024-07-22T17:44:44Z
dc.date.issued	2024
dc.description.abstract	This article is a study on the implementation of the active contours method using mathematical descriptions to identify objects in the work area of a mobile robot. The program, developed in Python in the PyCharm 2022.2.3 (Professional Edition) environment, is based on the principles of the active contour method, ensuring accurate selection of objects in images. Experiments conducted on matchbox contour extraction with the help of ESP32-Cam module confirm the effectiveness of the method in real-world conditions, demonstrating its potential for application in various fields of mobile robotics and computer vision.
dc.identifier.citation	Active Contours Method Implementation for Objects Selection in the Mobile Robot’s Workspace / V. Yevsieiev, S. Maksymova, N. Starodubtsev, Amer Abu-Jassar // Journal of Universal Science Research, 2024. – 2(2). – P. 135–145.
dc.identifier.issn	2181-4570
dc.identifier.uri	https://openarchive.nure.ua/handle/document/27489
dc.language.iso	en
dc.publisher	Journal of Universal Science Research
dc.subject	Сomputer Vision Systems
dc.subject	Mobile Robots
dc.title	Active Contours Method Implementation for Objects Selection in the Mobile Robot’s Workspace
dc.type	Article
dspace.entity.type	Publication