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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 37, Iss. 5 — Feb. 10, 1998
  • pp: 821–827

Improved feature extraction by use of a joint wavelet transform correlator

Boon Yi Soon, Mohammad S. Alam, and Mohammad A. Karim  »View Author Affiliations


Applied Optics, Vol. 37, Issue 5, pp. 821-827 (1998)
http://dx.doi.org/10.1364/AO.37.000821


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Abstract

A new joint wavelet transform correlation-based technique is proposed for feature extraction such as the detection of edges in an unknown input scene. We exploited a modified version of the Roberts and the Sobel wavelet filters as reference images for extracting the edges of an unknown input scene. The performance of the proposed technique with the aforementioned wavelet filters is evaluated and compared by use of numerical simulations. For noise-free input scenes the Roberts wavelet filter was found to yield a superior output compared with that of the Sobel wavelet filter. However, for noisy input scenes the Sobel wavelet filter was found to yield a better output compared with the Roberts wavelet filter.

© 1998 Optical Society of America

OCIS Codes
(070.2590) Fourier optics and signal processing : ABCD transforms
(070.5010) Fourier optics and signal processing : Pattern recognition
(100.5010) Image processing : Pattern recognition
(100.7410) Image processing : Wavelets
(120.2440) Instrumentation, measurement, and metrology : Filters

History
Original Manuscript: February 24, 1997
Revised Manuscript: September 23, 1997
Published: February 10, 1998

Citation
Boon Yi Soon, Mohammad S. Alam, and Mohammad A. Karim, "Improved feature extraction by use of a joint wavelet transform correlator," Appl. Opt. 37, 821-827 (1998)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-37-5-821


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