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Proceedings Paper

Scene evaluation using a pulse-coupled neural network (PCNN)
Author(s): Frank T. Allen; Jason M. Kinser; H. John Caulfield
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Paper Abstract

We introduce a new concept called a pulse-coupled neural network (PCNN). This system works by inputting a two dimensional image into the PCNN. The PCNN iterates over a set of five equations generating an output of summed pulses versus time. The output is solely dependent on the shape and the intensity of the image input into the network.

Paper Details

Date Published: 28 August 1995
PDF: 10 pages
Proc. SPIE 2565, Optical Implementation of Information Processing, (28 August 1995); doi: 10.1117/12.217663
Show Author Affiliations
Frank T. Allen, Alabama A&M Univ. (United States)
Jason M. Kinser, Alabama A&M Univ. (United States)
H. John Caulfield, Alabama A&M Univ. (United States)

Published in SPIE Proceedings Vol. 2565:
Optical Implementation of Information Processing
Bahram Javidi; Joseph L. Horner, Editor(s)

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