The Canny Algorithm Implementation for Obtaining the Object Contour in a Mobile Robot’s Workspace in Real Time

Yevsieiev, V.; Maksymova, S.; Amer Abu-Jassar

Публікація:
The Canny Algorithm Implementation for Obtaining the Object Contour in a Mobile Robot’s Workspace in Real Time

dc.contributor.author	Yevsieiev, V.
dc.contributor.author	Maksymova, S.
dc.contributor.author	Amer Abu-Jassar
dc.date.accessioned	2024-07-22T18:04:19Z
dc.date.available	2024-07-22T18:04:19Z
dc.date.issued	2024
dc.description.abstract	The article is devoted to the Canny algorithm implementation for obtaining the objects contours in mobile robots’ workspace in real time. The paper presents the mathematical foundations of the algorithm, including all key stages: from image pre -processing up to the Canny operator application. The article main focus is the algorithm integration into the mobile robot system and its adaptation to the dynamic conditions of the workspace. The developed program in the Python programming language using the PyCharm development environment demonstrat es the high performance of the algorithm in real time. A series of experiments has confirmed that the average video stream processing speed fluctuates in a narrow range from 1000.07 to 1002.70 frames per second.
dc.identifier.citation	Yevsieiev V. The Canny Algorithm Implementation for Obtaining the Object Contour in a Mobile Robot’s Workspace in Real Time / V. Yevsieiev, S. Maksymova, Amer Abu-Jassar // Journal of Universal Science Research, 2024. – 2(3). – P. 7–19.
dc.identifier.issn	2181-4570
dc.identifier.uri	https://openarchive.nure.ua/handle/document/27493
dc.language.iso	en
dc.publisher	Journal of Universal Science Research
dc.subject	Computer Vision Systems
dc.subject	Mobile Robots
dc.title	The Canny Algorithm Implementation for Obtaining the Object Contour in a Mobile Robot’s Workspace in Real Time
dc.type	Article
dspace.entity.type	Publication