Overview
- Excellent presentation of a new concept of image processing by electronic neural networks based on the technical realization of biological concepts
- Includes supplementary material: sn.pub/extras
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Table of contents (8 chapters)
Keywords
About this book
This is the first book to explain and demonstrate the tremendous ability of Pulse-Coupled Neural Networks (PCNNs) when applied to the field of image processing. PCNNs and their derivatives are biologically inspired models that are powerful tools for extracting texture, segments, and edges from images. As these attributes form the foundations of most image processing tasks, the use of PCNNs facilitates traditional tasks such as recognition, foveation, and image fusion. PCNN technology has also paved the way for new image processing techniques such as object isolation, spiral image fusion, image signatures, and content-based image searches. This volume contains examples of several image processing applications, as well as a review of hardware implementations.
Authors and Affiliations
About the authors
Thomas Lindblad is a professor at the Royal Institute of Technology (Physics) in Stockholm. Working and teaching nuclear and environmental physics his main interest is with sensors, signal processing and intelligent data analysis of torrent data from experiments on-line accelerators, in space, etc.
Jason Kinser is an associate professor at George Mason University. He has developed a plethora of image processing applications in the medical, military, and industrial fields. He has been responsible for the conversion of PCNN theory into practical applications providing many improvements in both speed and performance.
Bibliographic Information
Book Title: Image Processing Using Pulse-Coupled Neural Networks
Authors: T. Lindblad, J.M. Kinser
DOI: https://doi.org/10.1007/3-540-28293-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Softcover ISBN: 978-3-642-06343-5Published: 14 October 2010
eBook ISBN: 978-3-540-28293-8Published: 28 November 2005
Edition Number: 2
Number of Pages: XI, 164
Number of Illustrations: 139 b/w illustrations
Additional Information: Originally published in the series: "Perspectives in Neural Computing"
Topics: Signal, Image and Speech Processing, Surfaces and Interfaces, Thin Films, Optics, Lasers, Photonics, Optical Devices, Biological and Medical Physics, Biophysics, Statistical Theory and Methods, Engineering, general