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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 48, Iss. 28 — Oct. 1, 2009
  • pp: 5225–5239

Adaptive feature-specific imaging for recognition of non-Gaussian classes

Pawan K. Baheti, Jun Ke, and Mark A. Neifeld  »View Author Affiliations


Applied Optics, Vol. 48, Issue 28, pp. 5225-5239 (2009)
http://dx.doi.org/10.1364/AO.48.005225


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Abstract

We present an adaptive feature-specific imaging (AFSI) system for application to an M-class recognition task. The proposed system uses nearest-neighbor-based density estimation to compute the (non- Gaussian) class-conditional densities. We refine the density estimates based on the training data and the knowledge from previous measurements at each step. The projection basis for the AFSI system is also adapted based on the previous measurements at each step. The decision-making process is based on sequential hypothesis testing. We quantify the number of measurements required to achieve a specified probability of error ( P e ) and we compare the AFSI system with an adaptive-conventional (ACONV) system. The AFSI system exhibits significant improvement compared to the ACONV system at low signal-to-noise ratio (SNR), and it is shown that, for an M = 4 hypotheses, SNR = 10 dB , and a desired P e = 10 2 , the AFSI system requires 30 times fewer measurements than the ACONV system. Experimental results validating the AFSI system are presented.

© 2009 Optical Society of America

OCIS Codes
(100.5010) Image processing : Pattern recognition
(110.2970) Imaging systems : Image detection systems
(110.1085) Imaging systems : Adaptive imaging
(110.1758) Imaging systems : Computational imaging

ToC Category:
Imaging Systems

History
Original Manuscript: April 6, 2009
Revised Manuscript: August 7, 2009
Manuscript Accepted: August 12, 2009
Published: September 21, 2009

Citation
Pawan K. Baheti, Jun Ke, and Mark A. Neifeld, "Adaptive feature-specific imaging for recognition of non-Gaussian classes," Appl. Opt. 48, 5225-5239 (2009)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-48-28-5225

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