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Please use this identifier to cite or link to this item: http://hdl.handle.net/10373/277

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Title: Rotationally invariant pattern recognition in a photorefractive joint transform correlator using circular harmonic filters and the wavelet transform
Authors: Zhang, H.
Cartwright, Colin M.
Ding, M. S.
Wang, Z. Q.
Liang, B. L.
Gillespie, A.
Affiliation: University of Abertay Dundee. School of Computing & Engineering Systems
Keywords: Joint transform correlator
Wavelet transform
Circular harmonic component
BSO
Issue Date: 15-Aug-2001
Publisher: Elsevier
Type: Journal Article
Refereed: peer-reviewed
Rights: Published version (c)Elsevier, available from DOI: 10.1016/S0030-4018(01)01313-X
Citation: Zhang, H., et al. 2001. Rotationally invariant pattern recognition in a photorefractive joint transform correlator using circular harmonic filters and the wavelet transform. Optics Communications. 195(5-6): pp.383-391. [Online] Available from: DOI: 10.1016/S0030-4018(01)01313-X
Abstract: A photorefractive joint transform correlator using circular harmonic filters and the wavelet transform for high discriminant and rotationally invariant pattern recognition is reported. In the experimental implementation, a photorefractive crystal, BSO, is used as the dynamic holographic medium and a bank of wavelet functions, derived from a mother Mexican-hat wavelet have been selected to achieve a band-pass operation in the Fourier domain. The zero-order and second-order circular harmonic components are used in the investigation. It is shown that, with the proper dilation factors, there is a trade-off between peak correlation intensity and signal-to-noise ratio (SNR) with the wavelet transform filters. With the second-order circular harmonic, an improvement of 63% in the SNR is achieved with only a 4% loss in the peak correlation intensity.
URI: http://hdl.handle.net/10373/277
ISSN: 0030-4018
Appears in Collections:Computing & Engineering Systems Collection

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