Title :
Generation of patterns with predefined statistical properties using Cellular Neural Networks
Author :
Lukasz Kornatowski;Krzysztof Slot;Piotr Debiec;Hyongsuk Kim
Author_Institution :
Institute of Electronics, Technical University of Lodz, Poland. e-mail: kornat@p.lodz.pl
Abstract :
The following paper presents an application of cellular neural networks for spontaneous generation of patterns with predefined statistical properties. The considered pattern statistical characteristics included coarseness, directionality and edge sharpness distribution. A purpose of this choice was to verify CNN capabilities in generating images that comprise structural elements significantly larger than a range of cell interconnections. Resulting CNN templates, derived using the SQP optimization algorithm, were capable of meeting majority of formulated design requirements
Keywords :
"Cellular neural networks","Electronic mail","Stochastic processes","Image generation","Design optimization","Algorithm design and analysis","Biological system modeling","Object oriented modeling","Cellular networks","Pattern formation"
Conference_Titel :
Cellular Neural Networks and Their Applications, 2006. CNNA ´06. 10th International Workshop on
Print_ISBN :
1-4244-0639-0
Electronic_ISBN :
2165-0152
DOI :
10.1109/CNNA.2006.341600