The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cet article présente une application du modèle de mémoire associative à valeurs complexes (CAMM) pour le traitement d'images. Un système d'association d'images appliquant CAMM, combiné à un processus de transformée de Fourier discrète bidimensionnelle (DFT 2-D) est proposé. Nous discutons de la manière dont une image en niveau de gris peut être exprimée à l'aide de CAMM et de l'association d'images qui peut être effectuée par CAMM. Dans le système proposé, les images d'entrée sont transformées en matrices de phase et l'association d'images peut être réalisée en utilisant les informations de phase. Des exemples pratiques sont également présentés.
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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 -