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

ISSN Imprimir: 0040-2508
ISSN On-line: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v70.i15.60
pages 1363-1371

COMPRESSION OF DESCRIPTIONS IN THE STRUCTURAL IMAGE RECOGNITION

V. A. Gorokhovatskiy
Kharkiv Educational and Scientific Institute of State Higher Educational Institution (SHEI) "Banking University" Kharkiv, Ukraine

RESUMO

Approaches to the gain in efficiency of the structural-hierarchical methods for image recognition using the principle of voting are considered. Results of elaboration of the modified methods, which through the structural description compression attain significantly lower calculation expenses as compared to the traditional approaches while ensuring a high probability of correct classification, are offered. Results of experiments in the images analysis and classification, based on the offered methods, are considered.


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