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电信和无线电工程
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN 打印: 0040-2508
ISSN 在线: 1943-6009

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

电信和无线电工程

DOI: 10.1615/TelecomRadEng.v76.i19.50
pages 1749-1760

VECTOR QUANTIZATION, LEARNING AND RECOGNITION IN THE SPACE OF DESCRIPTORS OF STRUCTURAL FEATURES OF IMAGES

V. A. Gorokhovatskiy
Kharkiv Educational and Scientific Institute of State Higher Educational Institution (SHEI) "Banking University" Kharkiv, Ukraine
A. V. Gorokhovatskiy
Simon Kuznets Kharkiv National University of Economics, 9-A Nauka Ave., Kharkiv 61166, Ukraine
E. O. Peredrii
Kharkiv Educational and Scientific Institute of State Higher Educational Institution (SHEI) "Banking University" Kharkiv, Ukraine

ABSTRACT

Some aspects are discussed as for applying the apparatus of vector quantization for sets of elements of the structural descriptions of images in the problem of recognition of visual images in the computer vision systems. A technology and methods of structural recognition are suggested that are based on the construction of a quantized representation of the set of features of the image database. Results of computer experiments are presented that testify to workability and effectiveness of the suggested methods of a visual information processing.


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