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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 47, Iss. 18 — Jun. 20, 2008
  • pp: 3378–3389

Performance assessment of the modified-hybrid optical neural network filter

Ioannis Kypraios, Pouwan Lei, Philip M. Birch, Rupert C. D. Young, and Chris R. Chatwin  »View Author Affiliations


Applied Optics, Vol. 47, Issue 18, pp. 3378-3389 (2008)
http://dx.doi.org/10.1364/AO.47.003378


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Abstract

We present in detail the recorded results of the modified-hybrid optical neural network (M-HONN) filter during a full series of tests to examine its robustness and overall performance for object recognition tasks. We test the M-HONN filter for its detectability and peak sharpness with within-class distortion of the input object, its discrimination ability between an in-class and out-of-class object, and its performance with cluttered images of the true-class object. The M-HONN filter is found to exhibit good detectability, an ability to maintain its correlation-peak sharpness throughout the recorded tests, good discrimination ability, and an ability to detect the true-class object within cluttered input images. Additionally we observe the M-HONN filter’s performance within the tests in comparison with the constrained-hybrid optical neural network filter for the first three series of tests and the synthetic discriminant function-maximum average correlation height filter for the fourth set of tests.

© 2008 Optical Society of America

OCIS Codes
(030.1640) Coherence and statistical optics : Coherence
(070.4550) Fourier optics and signal processing : Correlators
(100.5760) Image processing : Rotation-invariant pattern recognition
(100.6740) Image processing : Synthetic discrimination functions
(130.4310) Integrated optics : Nonlinear
(200.4260) Optics in computing : Neural networks

ToC Category:
Image Processing

History
Original Manuscript: November 8, 2007
Revised Manuscript: April 27, 2008
Manuscript Accepted: May 13, 2008
Published: June 19, 2008

Citation
Ioannis Kypraios, Pouwan Lei, Philip M. Birch, Rupert C. D. Young, and Chris R. Chatwin, "Performance assessment of the modified-hybrid optical neural network filter," Appl. Opt. 47, 3378-3389 (2008)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-47-18-3378

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