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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 39, Iss. 17 — Jun. 10, 2000
  • pp: 2918–2924

Intraclass and between-class training-image registration for correlation-filter synthesis

Abhijt Mahalanobis, B. V. K. Vijaya Kumar, and Robert T. Frankot  »View Author Affiliations


Applied Optics, Vol. 39, Issue 17, pp. 2918-2924 (2000)
http://dx.doi.org/10.1364/AO.39.002918


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Abstract

Correlation filters have traditionally been designed without much attention given to the issue of the training images within a class or the relative spatial position between classes. We examine the impact of training-set registration on correlation-filter performance and develop techniques for centering the training images from a class that result in improved performance. We also show that it is beneficial to adjust the spatial position of the classes relative to one another. Although the proposed techniques are relevant for many types of correlation filter, we limit our discussion to algorithms for the maximum average correlation height filter and the distance classifier correlation filter.

© 2000 Optical Society of America

OCIS Codes
(070.4550) Fourier optics and signal processing : Correlators
(100.5010) Image processing : Pattern recognition
(100.6740) Image processing : Synthetic discrimination functions

History
Original Manuscript: September 22, 1999
Revised Manuscript: February 23, 2000
Published: June 10, 2000

Citation
Abhijt Mahalanobis, B. V. K. Vijaya Kumar, and Robert T. Frankot, "Intraclass and between-class training-image registration for correlation-filter synthesis," Appl. Opt. 39, 2918-2924 (2000)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-39-17-2918


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References

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  10. Three-class public MSTAR data set (CD version), released for the Defense Advanced Research Projects Agency by Veda Incorporated, the Dayton Group, 1997; for more information see the URL https://www.mbvlab.wpafb.af.mil/public/sdms/main.htm .

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