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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 영상 처리를 위한 CAMM(Complex Valued Associative Memory Model)의 응용을 제시합니다. 2차원 이산 푸리에 변환(2-D DFT) 프로세스와 결합된 CAMM을 적용한 이미지 연관 시스템을 제안합니다. CAMM을 이용하여 Gray Level 영상을 표현하는 방법과 CAMM을 이용하여 수행할 수 있는 영상 연관에 대해 논의한다. 제안된 시스템에서는 입력 영상을 위상 행렬로 변환하고, 위상 정보를 활용하여 영상 연관을 수행할 수 있다. 실제 사례도 제시된다.
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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},}
부
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 -