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

ISSN Imprimir: 0040-2508
ISSN En Línea: 1943-6009

Volumes:
Volumen 78, 2019 Volumen 77, 2018 Volumen 76, 2017 Volumen 75, 2016 Volumen 74, 2015 Volumen 73, 2014 Volumen 72, 2013 Volumen 71, 2012 Volumen 70, 2011 Volumen 69, 2010 Volumen 68, 2009 Volumen 67, 2008 Volumen 66, 2007 Volumen 65, 2006 Volumen 64, 2005 Volumen 63, 2005 Volumen 62, 2004 Volumen 61, 2004 Volumen 60, 2003 Volumen 59, 2003 Volumen 58, 2002 Volumen 57, 2002 Volumen 56, 2001 Volumen 55, 2001 Volumen 54, 2000 Volumen 53, 1999 Volumen 52, 1998 Volumen 51, 1997

Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v74.i6.30
pages 503-514

APPLICATION OF GRANULATION OF FEATURE DESCRIPTIONS IN STRUCTURAL IMAGE RECOGNITION

V. A. Gorokhovatskiy
Kharkiv Educational and Scientific Institute of State Higher Educational Institution (SHEI) "Banking University" Kharkiv, Ukraine
O.A. Kobylin
Kharkiv National University of Radio Engineering and Electronics, 14, Lenin Ave, Kharkiv, 61166, Ukraine
Yu.A. Kulikov
Kharkiv National University of Radio Engineering and Electronics, 14, Lenin Ave, Kharkiv, 61166, Ukraine

SINOPSIS

The problems of smart intellectual processing of multidimensional data in computer vision systems are discussed. A method for generating the compressed structural description of an image in terms of granulating feature values as finite-dimensional vectors is proposed. This approach results in minimizing computational time and reducing the number of false compliances. The simulated results for the bases of images are given.


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