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Image Processing Using Pulse-Coupled Neural Networks

  • T. Lindblad
  • J.M. Kinser

Table of contents

  1. Front Matter
    Pages I-XI
  2. Pages 69-81
  3. Pages 93-106
  4. Pages 143-153
  5. Back Matter
    Pages 155-164

About this book

Introduction

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.

Keywords

Natur Pulse image processing Pulse-coupled neural networks Simulation image processing object recognition technology

Authors and affiliations

  • T. Lindblad
    • 1
  • J.M. Kinser
    • 2
    • 3
  1. 1.Royal Institute of TechnologyKTH-Physics, AlbaNovaStockholmSweden
  2. 2.George Mason UniversityManassasUSA
  3. 3.BristowUSA

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-28293-9
  • Copyright Information Springer Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-24218-5
  • Online ISBN 978-3-540-28293-8
  • Buy this book on publisher's site