Presentation 2003/7/7
Small-World Cellular Neural Networks for Image Processing Applications
Kazuya TSURUTA, Zonghuang YANG, Yoshifumi NISHIO, Akio USHIDA,
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Abstract(in English) In this paper, we propose a Small-World Cellular Neural Network (SWCNN) model, which is constructed by introducing some random couplings between cells to the original Chua-Yang CNN. Applying this SWCNN model to some applications of image processing are investigated. We found from numerical simulations that the SWCNN can improve the results of the image output in a certain content.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Cellular Neural Network / Small World / Random Coupling / Template
Paper # NLP2003-40
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Conference Information
Committee NLP
Conference Date 2003/7/7(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Small-World Cellular Neural Networks for Image Processing Applications
Sub Title (in English)
Keyword(1) Cellular Neural Network
Keyword(2) Small World
Keyword(3) Random Coupling
Keyword(4) Template
1st Author's Name Kazuya TSURUTA
1st Author's Affiliation Faculty of Engineering, Tokushima University()
2nd Author's Name Zonghuang YANG
2nd Author's Affiliation Faculty of Engineering, Tokushima University
3rd Author's Name Yoshifumi NISHIO
3rd Author's Affiliation Faculty of Engineering, Tokushima University
4th Author's Name Akio USHIDA
4th Author's Affiliation Faculty of Engineering, Tokushima Bunri University
Date 2003/7/7
Paper # NLP2003-40
Volume (vol) vol.103
Number (no) 185
Page pp.pp.-
#Pages 4
Date of Issue