Development of an Image Preprocessing by Bidth-Search Method for a Pattern Recognition System based on Multi-Agent Neurocognitive Architecture
https://doi.org/10.25205/1818-7900-2023-21-4-46-53
Abstract
In this paper, we consider the problem of image preprocessing for further pattern recognition through the use of a multiagent neurocognitive architecture. The solution to this problem is achieved using the breadth-first search (BFS) method. The article presents algorithmic descriptions of the segmentation method and the image processing method in a multiagent neurocognitive architecture. Experiments were carried out on object recognition in a segmented image based on a multi-agent neurocognitive architecture.
About the Authors
A. Z. Enes
Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences
Russian Federation
Russian Federation
Ahmed Zulfikar Enes, Junior Research Fellow
М. V. Khazhmetov
Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences
Russian Federation
Russian Federation
Murat V. Khazhmetov, Postgraduate Student
K. Ch. Bzhikhatlov
Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences
Russian Federation
Russian Federation
Kantemir Ch. Bzhikhatlov, Candidate of Physico-Mathematical Sciences
S. А. Kankulov
Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences
Russian Federation
Russian Federation
Sultan A. Kankulov, Trainee Researcher
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Review
For citations:
Enes A.Z., Khazhmetov М.V., Bzhikhatlov K.Ch., Kankulov S.А. Development of an Image Preprocessing by Bidth-Search Method for a Pattern Recognition System based on Multi-Agent Neurocognitive Architecture. Vestnik NSU. Series: Information Technologies. 2023;21(4):46-53. (In Russ.) https://doi.org/10.25205/1818-7900-2023-21-4-46-53
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