|2/2008 - 10|
Methodological Principles of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network SystemsKOZHEMYAKO, V. , TIMCHENKO, L. , YAROVYY, A.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (491 KB) | Citation | Downloads: 728 | Views: 3,205|
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)
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
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.
Web of Science® Times Cited: 4 [View]
View record in Web of Science® [View]
View Related Records® [View]
SCOPUS® Times Cited: 4
View record in SCOPUS® [Free preview]
 Parallel-Hierarchical Computing System for Multi-Level Transformation of Masked Digital Signals, YAROVYY, A. A., TIMCHENKO, L. I., KOKRIATSKAIA, N. I., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 12, 2012.
Digital Object Identifier: 10.4316/aece.2012.03002 [CrossRef] [Full text]
 New approach for the detection of noise-distorted signals based on the method of S-preparation, Cheporniuk, Serhiy V., Kutayev, Yuriy F., Yarovyy, Andriy A., Denysova, Alyona E., Timchenko, Leonid I., Kokriatskaya, Nataliya I., IET Image Processing, ISSN 1751-9659, Issue 11, Volume 8, 2014.
Digital Object Identifier: 10.1049/iet-ipr.2013.0471 [CrossRef]
 Biologically motivated approach to multistage image processing, Timchenko, L, Kokryatskaya, N, Ivasyuk, I, Małecka-Massalska, T, Omiotek, Z, Akhmetov, B, Information Technology in Medical Diagnostics, ISBN 978-1-138-29929-0, 2017.
Digital Object Identifier: 10.1201/9781315098050-10 [CrossRef]
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Clarivate Analytics, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.