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Applied Optics

Applied Optics


  • Vol. 38, Iss. 35 — Dec. 11, 1999
  • pp: 7228–7237

Illumination-invariant pattern recognition with joint-transform-correlator-based morphological correlation

Shuqun Zhang and Mohammad A. Karim  »View Author Affiliations

Applied Optics, Vol. 38, Issue 35, pp. 7228-7237 (1999)

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The performance of nonlinear morphological correlation is investigated and compared with that of conventional linear correlation. In particular, the effects of illumination variations on the morphological correlation output are investigated in detail. The morphological correlation is shown to be invariant to uniform input-image illumination when the input-image illumination is higher than that of the reference. It also provides higher pattern discriminability, sharper peaks, and more-robust detection in the presence of salt-and-pepper noise than does the linear correlation. Computer-simulation results are provided.

© 1999 Optical Society of America

OCIS Codes
(070.2580) Fourier optics and signal processing : Paraxial wave optics
(070.4550) Fourier optics and signal processing : Correlators
(070.5010) Fourier optics and signal processing : Pattern recognition

Original Manuscript: December 14, 1998
Revised Manuscript: September 15, 1999
Published: December 10, 1999

Shuqun Zhang and Mohammad A. Karim, "Illumination-invariant pattern recognition with joint-transform-correlator-based morphological correlation," Appl. Opt. 38, 7228-7237 (1999)

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