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  • Book
  • © 1998

Image Processing using Pulse-Coupled Neural Networks

Authors:

  1. Thomas Lindblad

    1. Department of Physics, Royal Institute of Technology, Stockholm, Sweden

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    You can also search for this author in PubMed   Google Scholar

  2. Jason M. Kinser

    1. The Institute for Biosciences, Bioinformatics and Biotechnology, MSN 4E3, George Mason University, Manassas, USA

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    You can also search for this author in PubMed   Google Scholar

  • PCNN's (Pulse-Coupled Neural Networks) are a new and exciting development in image processing research - there are currently no books available on this topic * PCNN research is particularly relevant to applications in the medical, military and industrial sectors

Part of the book series: Perspectives in Neural Computing (PERSPECT.NEURAL)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-ix
    PDF

  2. Introduction and Theory

    • Thomas Lindblad, Jason M. Kinser
    Pages 1-10

  3. PCNN Theory

    • Thomas Lindblad, Jason M. Kinser
    Pages 11-19

  4. PCNN Image Processing

    • Thomas Lindblad, Jason M. Kinser
    Pages 21-31

  5. The PCNN Kernel

    • Thomas Lindblad, Jason M. Kinser
    Pages 33-38

  6. Target Recognition

    • Thomas Lindblad, Jason M. Kinser
    Pages 39-48

  7. Dealing with Noise

    • Thomas Lindblad, Jason M. Kinser
    Pages 49-57

  8. Feedback

    • Thomas Lindblad, Jason M. Kinser
    Pages 59-63

  9. Object Isolation

    • Thomas Lindblad, Jason M. Kinser
    Pages 65-79

  10. Foveation

    • Thomas Lindblad, Jason M. Kinser
    Pages 81-89

  11. Image Fusion

    • Thomas Lindblad, Jason M. Kinser
    Pages 91-100

  12. Software and Hardware Realisation

    • Thomas Lindblad, Jason M. Kinser
    Pages 101-130

  13. Summary, Applications and Future Research

    • Thomas Lindblad, Jason M. Kinser
    Pages 131-147

  14. Back Matter

    Pages 149-152
    PDF
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About this book

Pulse-coupled neural networks represent a new and exciting advance in image processing research. When exposed to grey scale or colour images they produce a series of binary pulse images which allow the content of the image to be assessed much more accurately than from the original. In this volume Thomas Lindblad and Jason Kinser provide a much needed introduction to the topic of PCNNs. They review the theoretical foundations, and then look at a number of image processing applications including segmentation, edge extraction, texture extraction, object identification, object isolation, motion processing, foveation, noise suppression and image fusion. They also look at the PCNNs ability to process logical arguments and at how to implement it in specialised hardware. It will be of particular interest to researchers and practitioners working in image processing, especially those involved with medical, military or industrial applications. It will also be of interest to graduate-level students.
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Keywords

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Authors and Affiliations

  • Department of Physics, Royal Institute of Technology, Stockholm, Sweden

    Thomas Lindblad

  • The Institute for Biosciences, Bioinformatics and Biotechnology, MSN 4E3, George Mason University, Manassas, USA

    Jason M. Kinser

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Buy it now

eBook USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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