Presentation 1994/5/20
Design of connected pattern extract Cellular Neural Networks
Koji Nakai, Souichi Oe, Yoshifumi Nishio, Akio Ushida,
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Abstract(in English) Cellular neural network(CNN)is an analog processor which works as real-time image processor,and it is complosed of many cells in plane.Each cell,which has only voltage controlled current sources and a piecewise linear nonlinear element,is connected by uniform constant weight in the neighborhood.We can design many interesting CNNs by choosing different weight which called cloning template. In this paper,we present a desgin technique of the template for finding connected pattern in given image,where we introduce a new idea of dummy cells.Introducing the cells,we can find out any connection pattern,successively.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) cellular neural networks / pattern recoginition / connected pattern extract / dummy cell / template
Paper # NLP94-12
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Conference Information
Committee NLP
Conference Date 1994/5/20(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Design of connected pattern extract Cellular Neural Networks
Sub Title (in English)
Keyword(1) cellular neural networks
Keyword(2) pattern recoginition
Keyword(3) connected pattern extract
Keyword(4) dummy cell
Keyword(5) template
1st Author's Name Koji Nakai
1st Author's Affiliation Department of Electronic Control Engineering,Niihama National College of Techrology()
2nd Author's Name Souichi Oe
2nd Author's Affiliation Department of Electrical and Electronic Engineering,Faculty of Engineering,University of Tokushima
3rd Author's Name Yoshifumi Nishio
3rd Author's Affiliation Department of Electrical and Electronic Engineering,Faculty of Engineering,University of Tokushima
4th Author's Name Akio Ushida
4th Author's Affiliation Department of Electrical and Electronic Engineering,Faculty of Engineering,University of Tokushima
Date 1994/5/20
Paper # NLP94-12
Volume (vol) vol.94
Number (no) 45
Page pp.pp.-
#Pages 6
Date of Issue