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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.
|Affiliation: ||University of Abertay Dundee. School of Computing & Engineering Systems|
|Keywords: ||Joint transform correlator|
Circular harmonic component
|Issue Date: ||15-Aug-2001|
|Type: ||Journal Article|
|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.|
|Appears in Collections:||Computing & Engineering Systems Collection|
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