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Image Association Using a Complex-Valued Associative Memory Model

Hiroyuki AOKI, Mahmood R. AZIMI-SADJADI, Yukio KOSUGI

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Summary :

This paper presents an application of Complex-Valued Associative Memory Model(CAMM) for image processing. An image association system applying CAMM, combined with a 2-dimensional discrete Fourier transform (2-D DFT) process is proposed. Discussed are how a gray level image can be expressed using CAMM, and the image association that can be performed by CAMM. In the proposed system, input images are transformed to phase matrices and the image association can be performed by making use of the phase information. Practical examples are also presented.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E83-A No.9 pp.1824-1832
Publication Date
2000/09/25
Publicized
Online ISSN
DOI
Type of Manuscript
PAPER
Category
Neural Networks and Bioengineering

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