OSA's Digital Library

Applied Optics

Applied Optics


  • Vol. 37, Iss. 2 — Jan. 10, 1998
  • pp: 374–379

Joint wavelet representation correlator for pattern recognition

Sheng Zhong, Shutian Liu, Xueru Zhang, and Chunfei Li  »View Author Affiliations

Applied Optics, Vol. 37, Issue 2, pp. 374-379 (1998)

View Full Text Article

Enhanced HTML    Acrobat PDF (188 KB)

Browse Journals / Lookup Meetings

Browse by Journal and Year


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools



A joint wavelet representation correlator is proposed as a new architecture to combine wavelets and the joint transform correlator. It performs wavelet representation preprocessing and the correlation operation simultaneously. An intensity filter used for wavelet representation is the power spectrum of the wavelet function and can easily be synthesized and displayed. Computer simulation shows that, as compared with previous joint wavelet transform correlators, its discrimination capability is better and its performance is more stable under input noise.

© 1998 Optical Society of America

OCIS Codes
(070.4550) Fourier optics and signal processing : Correlators
(100.5010) Image processing : Pattern recognition
(100.7410) Image processing : Wavelets

Original Manuscript: March 24, 1997
Revised Manuscript: July 21, 1997
Published: January 10, 1998

Sheng Zhong, Shutian Liu, Xueru Zhang, and Chunfei Li, "Joint wavelet representation correlator for pattern recognition," Appl. Opt. 37, 374-379 (1998)

Sort:  Author  |  Year  |  Journal  |  Reset  


  1. A. Grossman, J. Morlet, “Decomposition of Hardy functions into square integrable wavelets of constant shape,” SIAM J. Math. 15, 723–736 (1984). [CrossRef]
  2. I. Daubechies, “Orthogonal bases of compactly supported wavelets,” Commun. Pure Appl. Math. 41, 909–996 (1988). [CrossRef]
  3. S. Mallat, “Multifrequency channel decompositions of images and wavelet models,” IEEE Trans. Acoust. Speech Signal Process. 37, 2091–2110 (1989). [CrossRef]
  4. Y. Li, H. Szu, Y. Sheng, H. J. Caulfield, “Wavelet processing and optics,” Proc. IEEE 84, 720–732 (1996). [CrossRef]
  5. W. Wang, G. Jin, Y. Yan, M. Wu, “Joint wavelet transform correlator for image features extraction,” Appl. Opt. 34, 370–376 (1995). [CrossRef] [PubMed]
  6. C. S. Weaver, J. W. Goodman, “Technique for optically convolving two functions,” Appl. Opt. 5, 1248–1249 (1966). [CrossRef] [PubMed]
  7. X. J. Lu, A. Katz, E. G. Kanterakis, N. P. Caviris, “Joint transform correlator that uses the wavelet transform,” Opt. Lett. 17, 1700–1702 (1992). [CrossRef] [PubMed]
  8. J. Li, Y. Zhang, J. Hu, “Object recognition with a wavelet-transform-based joint transform correlator,” Opt. Eng. 35, 775–777 (1996). [CrossRef]
  9. F. T. S. Yu, X. J. Lu, “A real-time programmable joint transform correlator,” Opt. Commun. 52, 10–16 (1984). [CrossRef]
  10. E. Ahouzi, J. Campos, M. J. Yzuel, “Phase-only filter with improved discrimination,” Opt. Lett. 19, 1340–1342 (1994). [CrossRef] [PubMed]
  11. F. Cheng, P. Andres, F. T. S. Yu, D. Gregory, “Intensity compensation fiber for joint transform correlation peak enhancement,” Appl. Opt. 32, 4357–4364 (1993). [CrossRef] [PubMed]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited