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IMAGE PROCESSING AND SELF-ORGANIZING CNN

MAKOTO ITOH

Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka 811-0295, Japan

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and

LEON O. CHUA

Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA

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https://doi.org/10.1142/S0218127405013794Cited by:8 (Source: Crossref)

Abstract

CNN templates for image processing and pattern formation are derived from neural field equations, advection equations and reaction–diffusion equations by discretizing spatial integrals and derivatives. Many useful CNN templates are derived by this approach. Furthermore, self-organization is investigated from the viewpoint of divergence of vector fields.

Keywords:

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