Scene evaluation using a pulse-coupled neural network (PCNN)

Frank T. Allen; Jason M. Kinser; H. John Caulfield

doi:10.1117/12.217663

28 August 1995 Scene evaluation using a pulse-coupled neural network (PCNN)

Frank T. Allen, Jason M. Kinser, H. John Caulfield

Proceedings Volume 2565, Optical Implementation of Information Processing; (1995) https://doi.org/10.1117/12.217663
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Frank T. Allen, Jason M. Kinser, and H. John Caulfield "Scene evaluation using a pulse-coupled neural network (PCNN)", Proc. SPIE 2565, Optical Implementation of Information Processing, (28 August 1995); https://doi.org/10.1117/12.217663

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