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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 47, Iss. 10 — Apr. 1, 2008
  • pp: B52–B63

Image identification system based on an optical broadcast neural network and a pulse coupled neural network preprocessor stage

Horacio Lamela and Marta Ruiz-Llata  »View Author Affiliations


Applied Optics, Vol. 47, Issue 10, pp. B52-B63 (2008)
http://dx.doi.org/10.1364/AO.47.000B52


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Abstract

We describe the concept of a vision system based on an optoelectronic hardware neural processor. The proposed system is composed of a pulse coupled neural network (PCNN) preprocessor stage that converts an input image into a temporal pulsed pattern. These pulses are inputs to the optical broadcast neural network (OBNN) processor, which classifies the input pattern between a set of reference patterns based on a pattern matching strategy. The PCNN is to provide immunity to the scale, rotation, and translation of objects in the image. The OBNN provides high parallelism and a high speed hardware neural processor.

© 2008 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(200.4700) Optics in computing : Optical neural systems

History
Original Manuscript: September 5, 2007
Revised Manuscript: December 21, 2007
Manuscript Accepted: January 3, 2008
Published: February 22, 2008

Virtual Issues
Vol. 3, Iss. 5 Virtual Journal for Biomedical Optics

Citation
Horacio Lamela and Marta Ruiz-Llata, "Image identification system based on an optical broadcast neural network and a pulse coupled neural network preprocessor stage," Appl. Opt. 47, B52-B63 (2008)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-47-10-B52


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