Image processing using pulse coupled neural networks / Thomas Lindblad and Jason M. Kinser / Perspectives in neural computing

Lindblad, Thomas und Jason M. Kinser:

ISBN 10: 3540762647 / ISBN 13: 9783540762645

Published by London ; Berlin ; Singapore ; Tokyo ; Heidelberg ; New York ; Barcelona ; Budapest ; Hong Kong ; Milan ; Paris ; Santa Clara : Springer, 1998

About this Item

IX, 152 cm : Ill., graph. Darst. ; 24 cm Like new. Unread book. --- Neuwertiger Zustand. Ungelesenes Buch. 9783540762645 Sprache: Englisch Gewicht in Gramm: 322.

Seller Inventory # 200025

Bibliographic Details

• Title: Image processing using pulse coupled neural networks / Thomas Lindblad and Jason M. Kinser / Perspectives in neural computing
• Publisher: London ; Berlin ; Singapore ; Tokyo ; Heidelberg ; New York ; Barcelona ; Budapest ; Hong Kong ; Milan ; Paris ; Santa Clara : Springer
• Publication Date: 1998
• Language: English
• ISBN 10: 3540762647
• ISBN 13: 9783540762645
• Binding: Softcover
• Edition: 1st.
• Seller catalogs:
  • Computer & Internet

About this title

Synopsis

This volume reviews the theoretical foundations of pulse-coupled neural networks, and then discusses image processing applications including segmentation and foveation. It also looks at the PCNN ability to process logical arguments and at how to implement it into specialized hardware.

From the Back Cover

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.