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Vol.10, No.4, November 2021. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems
Amer Tahseen Abu-Jassar, Yasser Mohammad Al-Sharo, Vyacheslav Lyashenko, Svitlana Sotnik
© 2021 Vyacheslav Lyashenko, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 10, Issue 4, Pages 1645-1654, ISSN 2217-8309, DOI: 10.18421/TEM104-21, November 2021.
Received: 30 July 2021. Revised: 08 October 2021.
Abstract:
Generalized formalization of recognition algorithm for specialized computer systems is presented in this paper. The structure features of image recognition methods, which have to be taken into account when developing classifiers for object recognition in specialized computer systems, are described. The fundamental types of images characteristics-features, which are used in various methods of image recognition, are discussed. Approaches to development of classifiers for recognizing robotization objects, which are implemented on basis of Haar classifiers, are discussed. The issues of using machine learning algorithm of adaptive gain AdaBoost for development of such classifiers are also considered. Utilities have been developed for implementation of classifiers for object recognition in specialized computer systems.
Keywords –specialized computer systems, robotics, semantic network, recognition, image, classifier. |
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