Image Processing Using Pulse-Coupled Neural Networks

Thomas Lindblad

ISBN 10: 3642063438 / ISBN 13: 9783642063435

Published by Springer, Berlin, Springer, 2010

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783642063435

Bibliographic Details

• Title: Image Processing Using Pulse-Coupled Neural Networks
• Publisher: Springer, Berlin, Springer
• Publication Date: 2010
• Language: English
• ISBN 10: 3642063438
• ISBN 13: 9783642063435
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 35D millimeters 235 millimeters width by 155 millimeters height by 35 millimeters depth
• Weight: 277 grams

About this title

Synopsis

and Theory.- Theory of Digital Simulation.- Automated Image Object Recognition.- Image Fusion.- Image Texture Processing.- Image Signatures.- Miscellaneous Applications.- 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.