Image Processing by Pattern Formation and Clustering in a Set of Coupled Neural Chaotic Oscillators

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F11%3A43892386" target="_blank" >RIV/60461373:22340/11:43892386 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Image Processing by Pattern Formation and Clustering in a Set of Coupled Neural Chaotic Oscillators
Original language description
Image analysis and mathematical modelling of biological systems form a very important area of digital signal processing enabling to study into more details the behaviour of real systems. Even in a very small area of the real brain with just a few dozen neurons neural networks can solve different complex problems. Biological oscillators belong to the broad class of limit cycle or weakly chaotic oscillators. Networks built from both excitatory and inhibitory elements can generate complex systems with different properties. Biological neurones and their networks can be modelled by means of difference or differential equations. In this work we propose the network of simple chaotic oscillators based on the formal neuron for image processing.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 4th WSEAS International Conference on Visualization, Imaging and Simulation VIS '11
ISBN
978-1-61804-046-6
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
322-324
Publisher name
WSEAS Press
Place of publication
Stevens Point, Wisconsin
Event location
Catania, Sicily
Event date
Nov 3, 2011
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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