Inscrição na biblioteca: Guest
Portal Digital Begell Biblioteca digital da Begell eBooks Diários Referências e Anais Coleções de pesquisa
Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

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

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

Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v74.i18.60
pages 1671-1683

SELF-LEARNING METHODS IN THE SPACE OF IMAGE STRUCTURAL SIGN CRITERIONS

V. A. Gorokhovatskiy
Kharkiv Educational and Scientific Institute of State Higher Educational Institution (SHEI) "Banking University" Kharkiv, Ukraine
A. Ye. Berestovsky
Kharkiv National University of Radio Engineering and Electronics, 14, Lenin Ave, Kharkiv, 61166, Ukraine
Ye. P. Putyatin
Kharkiv National University of Radio Engineering and Electronics, 14, Lenin Ave, Kharkiv, 61166, Ukraine

RESUMO

The issues of enhancing efficiency of the structural image recognition methods in the computer vision systems are discussed. For systematization of the space of signs it is suggested to perform self-learning with application of differential grouping methods and Kohonen networks. As the result, it is developed a more efficient in terms of processing fast-action vector description of the standard bases. The computer modeling results are provided for estimation of the quality of learning and the methods operation capabilities for the application image database.


Articles with similar content:

INTELLECTUAL DATA PROCESSING AND SELF-ORGANIZATION OF STRUCTURAL FEATURES AT RECOGNITION OF VISUAL OBJECTS
Telecommunications and Radio Engineering, Vol.75, 2016, issue 2
V. A. Gorokhovatskiy, A. Ye. Berestovsky, A. V. Gorokhovatskiy
A Model of a Digital Graphic Image Containing Steganographic Information
Telecommunications and Radio Engineering, Vol.66, 2007, issue 15
E. P. Stelmakh, A. V. Skurnovich
APPLICATION OF GRANULATION OF FEATURE DESCRIPTIONS IN STRUCTURAL IMAGE RECOGNITION
Telecommunications and Radio Engineering, Vol.74, 2015, issue 6
Yu.A. Kulikov, V. A. Gorokhovatskiy, O.A. Kobylin
An Adaptive Method for Evaluation of Reliability of Switched Telecommunication Systems
Telecommunications and Radio Engineering, Vol.68, 2009, issue 9
V. E. Fisenko
VECTOR QUANTIZATION, LEARNING AND RECOGNITION IN THE SPACE OF DESCRIPTORS OF STRUCTURAL FEATURES OF IMAGES
Telecommunications and Radio Engineering, Vol.76, 2017, issue 19
V. A. Gorokhovatskiy, E. O. Peredrii, A. V. Gorokhovatskiy