图书馆订阅: Guest
Begell Digital Portal Begell 数字图书馆 电子图书 期刊 参考文献及会议录 研究收集
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.v77.i9.40
pages 787-797

IMAGE CLASSIFICATION METHODS IN THE SPACE OF DESCRIPTIONS IN THE FORM OF A SET OF THE KEY POINT DESCRIPTORS

V. А. Gorokhovatskyi
Kharkiv National University of Radio Electronics, 14 Nauka Ave., Kharkiv, 61166, Ukraine

ABSTRACT

There are discussed the issues of development of the classification rules in the structural methods of image recognition in the case that descriptions of the objects are represented as the sets of the key point descriptors. It is suggested the classification technology based on the direct formation of the class centers for the visual objects in the space of the values of descriptors. At creation of the centers there are applied the binary data analysis and training using the Kohonen neural network based on the set of descriptors from the application image database. There are provided the computer experiment results confirming effectiveness of the suggested methods of visual object classification.


Articles with similar content:

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
Properties of Neural Networks and Their Use for Voice Signals Recognition
Telecommunications and Radio Engineering, Vol.62, 2004, issue 1-6
V. A. Pimenov
DIFFERENCE DOPPLER CENTROID ESTIMATION METHOD WITH HIGH SPATIAL RESOLUTION
Radio Physics and Radio Astronomy, Vol.1, 2010, issue 2
Ye. V. Dukhopelnykova
Cryptosteganographic Algorithm with Usage of Segmentation Methods
Journal of Automation and Information Sciences, Vol.42, 2010, issue 10
Inna V. Shvidchenko
The Use of Adaptive Neural Network in a Voice Identification System
Telecommunications and Radio Engineering, Vol.62, 2004, issue 7-12
V. A. Pimenov, A. P. Ryzhkov