Image Association Using a Complex-Valued Associative Memory Model
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概要
- 論文の詳細を見る
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.
- 社団法人電子情報通信学会の論文
- 2000-09-25
著者
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AOKI Hiroyuki
Department of Polymer Chemistry, Graduate School of Engineering, Kyoto University
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Aoki H
Modech Inc. Hachioji-shi Jpn
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Aoki H
Toshiba Corp. Yokohama‐shi Jpn
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AZIMI-SADJADI Mahmood
Electrical and Computer Engineering Department, Colorado State University
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KOSUGI Yukio
Frontier Collaborative Research Center, Tokyo Institute of Technology
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Kosugi Yukio
Frontier Collaborative Research Center Tokyo Institute Of Technology
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Azimi-sadjadi Mahmood
Electrical And Computer Engineering Department Colorado State University
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Aoki Hiroyuki
Department Of Industrial Chemistry Osaka Prefectural Of College Of Technology
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Aoki Hiroyuki
Department of Biochemistry, Faculty of Science, Okayama University of Science
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