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Methodological Principles of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network SystemsKOZHEMYAKO, V. , TIMCHENKO, L. , YAROVYY, A.
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parallel processing, parallel-hierarchical network, image processing, pattern recognition
kozhemyako(10), timchenko(9), kutaev(7), parallel(6), image(5), ukraine(4), processing(4), optoelectronic(4), computing(4)
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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
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.
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 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.
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 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.
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