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

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 me...

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Main Authors: KOZHEMYAKO, V., TIMCHENKO, L., YAROVYY, A.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2008-06-01
Series:Advances in Electrical and Computer Engineering
Subjects:
Online Access:http://dx.doi.org/10.4316/AECE.2008.02010
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author KOZHEMYAKO, V.
TIMCHENKO, L.
YAROVYY, A.
author_facet KOZHEMYAKO, V.
TIMCHENKO, L.
YAROVYY, A.
author_sort KOZHEMYAKO, V.
collection DOAJ
description 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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spelling doaj.art-56175663911e44abbaf3cada840c91ff2022-12-22T03:22:32ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002008-06-01825460Methodological Principles of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network SystemsKOZHEMYAKO, V.TIMCHENKO, L.YAROVYY, A.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.http://dx.doi.org/10.4316/AECE.2008.02010parallel processingparallel-hierarchical networkimage processingpattern recognition
spellingShingle KOZHEMYAKO, V.
TIMCHENKO, L.
YAROVYY, A.
Methodological Principles of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network Systems
Advances in Electrical and Computer Engineering
parallel processing
parallel-hierarchical network
image processing
pattern recognition
title Methodological Principles of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network Systems
title_full Methodological Principles of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network Systems
title_fullStr Methodological Principles of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network Systems
title_full_unstemmed Methodological Principles of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network Systems
title_short Methodological Principles of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network Systems
title_sort methodological principles of pyramidal and parallel hierarchical image processing on the base of neural like network systems
topic parallel processing
parallel-hierarchical network
image processing
pattern recognition
url http://dx.doi.org/10.4316/AECE.2008.02010
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AT timchenkol methodologicalprinciplesofpyramidalandparallelhierarchicalimageprocessingonthebaseofneurallikenetworksystems
AT yarovyya methodologicalprinciplesofpyramidalandparallelhierarchicalimageprocessingonthebaseofneurallikenetworksystems