The Optical Flow Method and Graham’s Algorithm Implementation Features for Searching for the Object Contour in the Mobile Robot’s Workspace

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

Публікація:
The Optical Flow Method and Graham’s Algorithm Implementation Features for Searching for the Object Contour in the Mobile Robot’s Workspace

dc.contributor.author	Amer Abu-Jassar
dc.contributor.author	Yevsieiev, V.
dc.contributor.author	Maksymova, S.
dc.date.accessioned	2024-05-11T22:13:34Z
dc.date.available	2024-05-11T22:13:34Z
dc.date.issued	2024
dc.description.abstract	This article examines the optical flow method and graham algorithm implementation features for searching for the object contour in the mobile robot’s workspace. The mathematical models of both methods were discussed in detail and then implemented in a Python program using the PyCharm development environment. As part of the study, a number of experiments were carried out, the purpose of which was to evaluate the performance of the optical flow method and the Graham algorithm for extracting the contour of an object. The research results presented in the article highlight the effectiveness of the optical flow method and the Graham algorithm in real-time conditions.
dc.identifier.citation	Amer Abu-Jassar The Optical Flow Method and Graham’s Algorithm Implementation Features for Searching for the Object Contour in the Mobile Robot’s Workspace / Amer Abu-Jassar, V. Yevsieiev, S. Maksymova // Journal of Universal Science Research, 2024, 2(3). – P. 64-75.
dc.identifier.issn	2181-4570
dc.identifier.uri	https://openarchive.nure.ua/handle/document/26246
dc.language.iso	en
dc.publisher	Journal of Universal Science Research
dc.subject	Industry 5.0
dc.subject	Computer Vision Systems
dc.title	The Optical Flow Method and Graham’s Algorithm Implementation Features for Searching for the Object Contour in the Mobile Robot’s Workspace
dc.type	Article
dspace.entity.type	Publication