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.
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Hiroyuki AOKI, Mahmood R. AZIMI-SADJADI, Yukio KOSUGI, "Image Association Using a Complex-Valued Associative Memory Model" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 9, pp. 1824-1832, September 2000, doi: .
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_9_1824/_p
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@ARTICLE{e83-a_9_1824,
author={Hiroyuki AOKI, Mahmood R. AZIMI-SADJADI, Yukio KOSUGI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Image Association Using a Complex-Valued Associative Memory Model},
year={2000},
volume={E83-A},
number={9},
pages={1824-1832},
abstract={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.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Image Association Using a Complex-Valued Associative Memory Model
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1824
EP - 1832
AU - Hiroyuki AOKI
AU - Mahmood R. AZIMI-SADJADI
AU - Yukio KOSUGI
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2000
AB - 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.
ER -