Image Processing using Pulse-Coupled Neural Networks

✍ Scribed by Thomas Lindblad PhD, Jason M. Kinser DSc (auth.)

• Publisher: Springer London
• Year: 1998
• Tongue: English
• Leaves: 153
• Series: Perspectives in Neural Computing
• Edition: 1st Edition
• Category: Library

✦ Synopsis

Pulse-coupled neural networks represent a new and exciting advance in image processing research. When exposed to grey scale or colour images they produce a series of binary pulse images which allow the content of the image to be assessed much more accurately than from the original. In this volume Thomas Lindblad and Jason Kinser provide a much needed introduction to the topic of PCNNs. They review the theoretical foundations, and then look at a number of image processing applications including segmentation, edge extraction, texture extraction, object identification, object isolation, motion processing, foveation, noise suppression and image fusion. They also look at the PCNNs ability to process logical arguments and at how to implement it in specialised hardware. It will be of particular interest to researchers and practitioners working in image processing, especially those involved with medical, military or industrial applications. It will also be of interest to graduate-level students.

✦ Table of Contents

Front Matter....Pages i-ix
Introduction and Theory....Pages 1-10
PCNN Theory....Pages 11-19
PCNN Image Processing....Pages 21-31
The PCNN Kernel....Pages 33-38
Target Recognition....Pages 39-48
Dealing with Noise....Pages 49-57
Feedback....Pages 59-63
Object Isolation....Pages 65-79
Foveation....Pages 81-89
Image Fusion....Pages 91-100
Software and Hardware Realisation....Pages 101-130
Summary, Applications and Future Research....Pages 131-147
Back Matter....Pages 149-152

✦ Subjects

Artificial Intelligence (incl. Robotics); Health Informatics; Statistical Physics, Dynamical Systems and Complexity