Публікація:
Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems

dc.contributor.authorAbu-Jassar Amer Tahseen
dc.contributor.authorAl-Sharo Yasser Mohammad
dc.contributor.authorLyashenko, V.
dc.contributor.authorSotnik, S.
dc.date.accessioned2021-11-28T18:14:10Z
dc.date.available2021-11-28T18:14:10Z
dc.date.issued2021
dc.description.abstractGeneralized 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.uk_UA
dc.identifier.citationAbu-Jassar A., Al-Sharo Y., Lyashenko V., Sotnik S. (2021). Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems. TEM Journal, 10(4), 1645-1654.uk_UA
dc.identifier.issn2217‐8309
dc.identifier.urihttps://openarchive.nure.ua/handle/document/18440
dc.language.isoenuk_UA
dc.publisherTEM Journaluk_UA
dc.subjectRoboticsuk_UA
dc.subjectimageuk_UA
dc.subjectrecognitionuk_UA
dc.subjectsemantic networkuk_UA
dc.titleSome Features of Classifiers Implementation for Object Recognition in Specialized Computer systemsuk_UA
dc.typeArticleuk_UA
dspace.entity.typePublication

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