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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 32, Iss. 23 — Aug. 10, 1993
  • pp: 4365–4371

Automatic spatial frequency selection algorithm for pattern recognition by correlation

Frank Dubois  »View Author Affiliations


Applied Optics, Vol. 32, Issue 23, pp. 4365-4371 (1993)
http://dx.doi.org/10.1364/AO.32.004365


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Abstract

We describe an approach to compute filters that automatically performs a spatial frequency selection to improve interclass discrimination and to reduce intraclass sensitivity. This approach is achieved by using as input to the filter synthesis a set of reference images to compute the filters and a set of distorted images to introduce the distortion or noise model of the reference images. Simulation results of correlation examples are provided for two pattern-recognition problems and are compared with the ones obtained with the standard minimum average correlation energy filters.

© 1993 Optical Society of America

History
Original Manuscript: June 26, 1992
Published: August 10, 1993

Citation
Frank Dubois, "Automatic spatial frequency selection algorithm for pattern recognition by correlation," Appl. Opt. 32, 4365-4371 (1993)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-32-23-4365

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