Test results for a 32x32 PCNN array

John L. Johnson; S. Richard F. Sims; T. W. Branch

doi:10.1117/12.343036

22 March 1999 Test results for a 32x32 PCNN array

John L. Johnson, S. Richard F. Sims, T. W. Branch

Author Affiliations +

Proceedings Volume 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks; (1999) https://doi.org/10.1117/12.343036
Event: Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks: Neural Networks Fuzzy Systems, Evolutionary Systems and Virtual Re, 1998, Stockholm, Sweden

Abstract

Pulse coupled neural network (PCNN) algorithms for image preprocessing have minimal requirements for interconnects and essentially no memory requirements. They are an effective technique for rapid intensity segmentation and noise smoothing as an initial step in many image processing algorithms. A test array with 32 X 32 active PCNN pixels has been undergoing initial evaluation. Its performance is discussed and comparison with software versions of the PCNN algorithm is given.

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John L. Johnson, S. Richard F. Sims, and T. W. Branch "Test results for a 32x32 PCNN array", Proc. SPIE 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks, (22 March 1999); https://doi.org/10.1117/12.343036

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