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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2008 - 10

 HIGH-IMPACT PAPER 

Methodological Principles of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network Systems

KOZHEMYAKO, V. See more information about KOZHEMYAKO, V. on SCOPUS See more information about KOZHEMYAKO, V. on IEEExplore See more information about KOZHEMYAKO, V. on Web of Science, TIMCHENKO, L. See more information about  TIMCHENKO, L. on SCOPUS See more information about  TIMCHENKO, L. on SCOPUS See more information about TIMCHENKO, L. on Web of Science, YAROVYY, A. See more information about YAROVYY, A. on SCOPUS See more information about YAROVYY, A. on SCOPUS See more information about YAROVYY, A. on Web of Science
 
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Download PDF pdficon (491 KB) | Citation | Downloads: 1,229 | Views: 5,101

Author keywords
parallel processing, parallel-hierarchical network, image processing, pattern recognition

References keywords
kozhemyako(10), timchenko(9), kutaev(7), parallel(6), image(5), ukraine(4), processing(4), optoelectronic(4), computing(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2008-06-02
Volume 8, Issue 2, Year 2008, On page(s): 54 - 60
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2008.02010
Web of Science Accession Number: 000264815000010
SCOPUS ID: 77955645549

Abstract
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The scientific research deals with organization principles of parallel-hierarchical transform for multistage perception and processing, compression and recognition of information in informational structure and computational systems which make use of computational scheme similar to neural. Unified methodological approach was developed for analysis of parallel processes. This approach considers influence of structural hierarchy in dynamics, in other words it tracks processes of spatial areas transformation of correlated and generation of uncorrelated in time elements of generated network, at the time of transition of the network from one stable stage to another.


References | Cited By  «-- Click to see who has cited this paper

[1] Introduction to algorithmic theory of hierarchy and parallelism of neurolike computing media and its application for image transformation. Fundamentals of pyramidal networks image transformation theory. / Kozhemyako V.P., Timchenko L.I., Kutaev Yu.F., Ivasuk I.D., - K.: UMK VO, 1994. - 272 p.

[2] Svietchnicov S. V., Kozhemhako V. P., Timchenko L. I. Quasipulsepotential optoelectronic elements and devices of logic-temporal type. - K.: Naukova Dumka, 1987. - 256 p.

[3] K. V. Kozhemyako, A. V. Kozhemyako, A. A. Yaroviy Optoquantronum converters of the information - Proceedings of SPIE, Volume 4425, 2001. - p. 41-46.

[4] Timchenko L.I. Investigation of construction principles and development of optoelectronic logic-temporal computing systems: Thesis for PhD(Eng.) Degree / Vinnytsia Polytechnic Institute. - 1984. - 26 p.

[5] Patent 2013805 of R.F. Code G 06 G 7/14/ Method of parallel addition of continuous group of time intervals. / V.P. Kozhemyako (Ukraine), Yu. F. Kutaev (R.F.), T.B. Martyniuk (Ukraine), L.I. Timchenko (Ukraine), A.G. Buda (Ukraine) N5004580/24; Date of Patent 22.07.91; Published 30.05.94. 16p.

[6] Parallel Computer Vision Ed. L. VHR.- Academic Press, 1987 - 230p.

[7] Tanimoto S. L., Pavlidis T. A. Comput. Graphics and Image Process, 1979. - N4.

[8] Vorob'ev K., Nimon'kin G., Kharchenko V., Mel'nikov V. Hirarchical Image Processing and pyramidal systems// Foreign Radioelectronic, 1991, pp. 51- 61.

[9] Timchenko L. I. Multistage parallel-hirarchical networks as the model of neural-like computing scheme / Cybernetics and system analysis. - 2000. - N2 - p. 114-134.

[10] Kozhemyako V. P., Timchenko L.I., Bilan S.M., Poplavsky A.V. Parallel computing methods and means of pyramidal processing of information : Text-book.-K UMK VO, 1994. - 253 p.

[11] Parallel-Hierarchical Transformation as the System Model of Optoelectronic Artificial Intelligence Tools. Monograph. / V.P. Kozhemyako, Yu.F. Kutaev, S.V. Svechnikov, L.I. Tymchenko, A.A. Yaroviy - Vinnytsia: UNIVERSUM-Vinnytsia, 2003. - 324.

[12] Glezer V. D. Vision and Cognitive Science. - L.: Nauka, 1985. - 190 p.

[13] D. Hubel, D. H., Wiesel, T.N. Receptive Fiels and Functional Architecture of Monkey Striate Cortex.// Physiol., 1968, pp. 215-243.

[14] S. Zeki, A Vision of the Brain // Blackwell Scientific Publications, Oxford, 1993, 178-190.

[15] Edelman D., Maunkasl V., "Rational Brain", Mir, 1981. - 131p.

[16] V. P. Kozhemyako, L. I. Tymchenko, Yu. F. Kutaev, A. A. Yaroviy Approach for real-time image recognition. // Optoelectronic Information-Power Technologies. - 2001, pp. 110-124.

[17] L. I. Timchenko, Yu. F. Kutaev, V. P. Kozhemyako, A. A. Yarovyy, A.A. Gertsiy, A.T. Terenchuk, Nafez Shweiki Method for Training of a Parallel-Hierarchical Network, Based on Population Coding for Processing of Extended Laser Paths Images // Proceedings of SPIE, Volume 4790, 2002, p. 465-479.

[18] Volodymyr P. Kozhemyako, Leonid I. Timchenko, Yuriy F. Kutaev, Alexander A. Gertsiy, Andriy A. Yarovyy, Nataly I. Kokryatskaya, Nikolay P. Grebenyuk, Olexandr A. Poplavskyy Analysis of the methodological approaches in connection with the problem solving of extrapolation of object trajectory // Proceedings of SPIE, Volume 5175, 2003. - p. 222-236.

[19] Leonid Timchenko, Yuriy Kutaev, Volodymyr Kozhemyako, Alexander Gertsiy, Andriy Yarovyy, Nataly Kokryatskaya Method for Processing of Extended Laser Paths Images // Advances in Electrical and Computer Engineering - "Stefan cel Mare" University of Suceava, Romania - Volume 3 (10), Number 2 (20), 2003, p. 66-78.

References Weight

Web of Science® Citations for all references: 0
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 0
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

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