Scientific journal
Scientific Review. Technical science
ISSN 2500-0799
ПИ №ФС77-57440

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DEVELOPMENT OF IMAGE PROCESSING ALGORITHMS FOR INTELLIGENT MOBILE ROBOTS BASED ON FUZZY LOGIC AND NEURAL NETWORKS

Aung Kyaw Tun 1Thant Zin Phyo 2Fedorov A.R. 2Fedorov P.A. 2
1 Defence Academy of the Republic of the Union of Myanmar
2 National Research University
In this paper, we develop algorithms for image processing intelligent mobile robots based on fuzzy logic and neural networks, providing for the allocation of boundaries in the image using the Sobel operator. The essence of the image processing is to bring the original image of the scene to the form, which allows to solve the problem of the recognition of its objects. The main problems and their solutions during the initial preparation of images for recognition. Detailed understanding of pre-processing algorithms using fuzzy logic and the process of image binarization. We construct an algorithm of fuzzy processing to extract the boundaries of the image using the Sobel operator.

Библиографическая ссылка

Аунг Чжо Хтун, Тант Зин Пьо, Федоров А.Р., Федоров П.А. РАЗРАБОТКА АЛГОРИТМОВ ОБРАБОТКИ ИЗОБРАЖЕНИЙ ИНТЕЛЛЕКТУАЛЬНЫМИ МОБИЛЬНЫМИ РОБОТАМИ НА ОСНОВЕ НЕЧЕТКОЙ ЛОГИКИ И НЕЙРОННЫХ СЕТЕЙ // Научное обозрение. Технические науки. 2015. № 1. С. 59-59;
URL: https://science-engineering.ru/en/article/view?id=805 (дата обращения: 31.05.2026).