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Optical Pattern Recognition Using the Wavelet Transform

  • Danny Roberge
  • Yunlong Sheng

Abstract

The wavelet transform (WT) is a new mathematic tool for multiresolution local analysis of non-stationary and fast transient signals. A 2-D image may be considered as a non-stationary signal with edges, textures and deterministic objects located at different locations and orientations. The WT is useful for image coding and compression [1].

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References

  1. 1.
    S. G. Mallat, “A theory for multiresolution signal decomposition: the wavelet representation”, Trans. IEEE, PAMI-11, 7, 674–693 (1989).Google Scholar
  2. 2.
    Y. Sheng, D. Roberge and H. Szu, “Optical wavelet transform”, Opt. Eng., 31, 1840–1845 (1992).CrossRefGoogle Scholar
  3. 3.
    Y. Sheng, D. Roberge, H. Szu and T. Lu, “Optical wavelet matched filters for shift-invariant pattern recognition”, Optics Letters, 18, 299–301 (1993).CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • Danny Roberge
    • 1
  • Yunlong Sheng
    • 1
  1. 1.Centre d’Optique, Photonique et Laser, Département de PhysiqueUniversité LavalCanada

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