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Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN 印刷: 0040-2508
ISSN オンライン: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v78.i3.20
pages 211-220

DETERMINATION OF RELEVANCE OF VISUAL OBJECT IMAGES BY APPLICATION OF STATISTICAL ANALYSIS OF REGARDING FRAGMENT REPRESENTATION OF THEIR DESCRIPTIONS

V. О. Gorokhovatsky
Kharkiv National University of Radio Electronics, 14 Nauka Ave., Kharkiv, 61166, Ukraine
S. V. Gadetska
Kharkiv Educational and Scientific Institute of SHEI "Banking University", 55 Peremoga Ave., Kharkiv, 61174, Ukraine

要約

The problem of visual object recognition in the space features of descriptors of special image points is solved with the application of statistical distributions for a system of fragments of image description. The efficiency of application of the distribution variants for single- and multi-bit sizes of the fragments of binary descriptors in the calculation of the level of relevance of descriptions in the process of object recognition is analyzed. Using software simulation, an experimental evaluation of the computation time of the relevance value in the constructed feature space is carried out compared to the traditional voting approach of the set of descriptors. The efficiency of the proposed approach to data representation in terms of a significant increase in the performance rate with ensuring a sufficient level of recognition quality is confirmed.


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