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Introduction and Theory Read chapter Read first chapter

1998 | OriginalPaper | Chapter

The PCNN Kernel

Authors : Thomas Lindblad, PhD, Jason M. Kinser, DSc

Published in: Image Processing using Pulse-Coupled Neural Networks

Publisher: Springer London

Included in: Professional Book Archive

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The PCNN convolution kernel is one of the main components of the PCNN. It can be manipulated to provide a variety of computations. The original Eckhorn model used a Gaussian type of interconnections, but when the PCNN is applied to image processing problems these interconnections are available to the user for altering the behaviour of the network.

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Metadata
Title
The PCNN Kernel
Authors
Thomas Lindblad, PhD
Jason M. Kinser, DSc
Copyright Year
1998
Publisher
Springer London
Book
Image Processing using Pulse-Coupled Neural Networks

Print ISBN: 978-3-540-76264-5

Electronic ISBN: 978-1-4471-3617-0

Copyright Year: 1998

DOI
https://doi.org/10.1007/978-1-4471-3617-0_4