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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 41, Iss. 35 — Dec. 10, 2002
  • pp: 7416–7421

Adaptive Binary Joint Transform Correlator for Image Recognition

Feng Lei, Masahide Iton, and Toyohiko Yatagai  »View Author Affiliations


Applied Optics, Vol. 41, Issue 35, pp. 7416-7421 (2002)
http://dx.doi.org/10.1364/AO.41.007416


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Abstract

Our research has shown that the autocorrelation peaks of a binary joint transform correlator are affected by input scenes’ backgrounds. An adaptive method is proposed to overcome this problem. The image of interest is first extracted from the background based on the position of the highest correlation peak of the input and reference images. The extracted image is then correlated with the reference to obtain the final correlation peak. Numerical simulations showed that the final autocorrelation peak is the maximum constant for a specified reference image.

© 2002 Optical Society of America

OCIS Codes
(070.2580) Fourier optics and signal processing : Paraxial wave optics
(070.2590) Fourier optics and signal processing : ABCD transforms
(070.4340) Fourier optics and signal processing : Nonlinear optical signal processing
(070.4550) Fourier optics and signal processing : Correlators
(070.4560) Fourier optics and signal processing : Data processing by optical means
(070.5010) Fourier optics and signal processing : Pattern recognition

Citation
Feng Lei, Masahide Iton, and Toyohiko Yatagai, "Adaptive Binary Joint Transform Correlator for Image Recognition," Appl. Opt. 41, 7416-7421 (2002)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-41-35-7416


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