Image Processing Using Pulse-Coupled Neural Networks

Lindblad, T. & Kinser, J. M.

ISBN 10: 354024218X / ISBN 13: 9783540242185

Published by Springer, 2005

About this Item

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,450grams, ISBN:9783540242185.

Seller Inventory # 9911174

Bibliographic Details

• Title: Image Processing Using Pulse-Coupled Neural Networks
• Publisher: Springer
• Publication Date: 2005
• Language: English
• ISBN 10: 354024218X
• ISBN 13: 9783540242185
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: Good
• Weight: 450 grams
• Seller catalogs:
  • Computing

About this title

Synopsis

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.

About the Author

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.