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Proceedings Paper

Volume holographic image recognition system based on wavelet packet compression
Author(s): Li Ding; Yingbai Yan; Guofan Jin
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Paper Abstract

In this paper, a novel optical correlation system on the basis of wavelet packet theory and the mechanism of volume holographic associative storage is proposed for image recognition. Through the wavelet packet transform, a set of best eigen-images, which are regarded as the reference images for recognition in the associative correlation, are extracted from the training images, and then stored into a volume holographic crystal using the two-wave mixing volume holographic storage technique. When any image for identification is input into the crystal which means a correlator, angularly separated beams with different light intensities are obtained simultaneously. They represent the optical correlation results between the input and the set of eigen-images, and can be applied for the classification and recognition. This process takes the advantages of both the agility of wavelet packet transform and the high degree of parallelism of the photorefractive correlator. Theoretical analysis of this process is presented, and experimental results are given.

Paper Details

Date Published: 5 December 2001
PDF: 8 pages
Proc. SPIE 4478, Wavelets: Applications in Signal and Image Processing IX, (5 December 2001); doi: 10.1117/12.449727
Show Author Affiliations
Li Ding, Tsinghua Univ. (China)
Yingbai Yan, Tsinghua Univ. (China)
Guofan Jin, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 4478:
Wavelets: Applications in Signal and Image Processing IX
Andrew F. Laine; Michael A. Unser; Akram Aldroubi, Editor(s)

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