Skip to main content
SpringerLink
Log in

PCNN Image Processing

  • Chapter
Image Processing using Pulse-Coupled Neural Networks

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

  • 105 Accesses

Abstract

Traditional image processing is a vast and extensive field covering many different approaches. We will not attempt to cover the broad extent of this science here. However, it is important to understand some of the fundamentals of image processing so that comparisons to the PCNN can be made. Traditional image processing is manifested in many forms but all based on a limited set of fundamental processing operations (e.g. convolution of matrices).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. , Martkin Akay, Wavelet Application in Medicine, Spectrum, May 1997, p. 50–56.

    Google Scholar 

  2. Age J. Eide, J. Waldemark, V. Becanovic, U. Brännström, C. Holmström, M. Larsson, Inge Morten Lillesand, Th. Lindblad, C. S. Lindsey and A Steen. Pulse-Coupled Neural Network Pre-Processing of Aurora Images, Lund, Sweden, 1997, to be publ.

    Google Scholar 

  3. Jason M. Kinser and Thomas Lindblad, Detection of Microcalcifications by Cortial Stimulation, Neural Networks in Engineering Systems, p. 203–206 A.B. Bulsari and S. Kali (Eds) ISBN 952–90-8669–9.

    Google Scholar 

  4. Moody, C.J. Darken, Fast Learning in Networks of Locally Tuned Processing Units. Neural Computation 1, pp. 281–294, 1989.

    Article  Google Scholar 

  5. Joakim Waldemark, V. Becanovic, Th. Lindblad and C. S. Lindsey, Hybrid Neural Networks for Automatic Target Recognition, Lund, Sweden, 1997, to be publ.

    Google Scholar 

  6. J. Waldemark, V. Becanovic, U. Brännström, C. Holmström, M. Larsson, Th. Lindblad, C. S. Lindsey and A Steen. Pulse Coupled Neural Network Pre Processing of Aurora Images, Neural Networks in Engineering Systems, p. 203–206 A.B. Bulsari and S. Kalli (Eds) ISBN 952–90-8669–9.

    Google Scholar 

  7. G. Wilensky, N. Manukian, The Projection Neural Network, International Joint Conf. On Neural Networks, Volume II, p. 358–367, 1992.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Physics, Royal Institute of Technology, 24 Frescativagen, S-104 05, Stockholm, Sweden

    Thomas Lindblad PhD

  2. The Institute for Biosciences, Bioinformatics and Biotechnology, MSN 4E3, George Mason University, 10900 University Boulevard, Manassas, VA, 20100, USA

    Jason M. Kinser DSc

Authors
  1. Thomas Lindblad PhD
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jason M. Kinser DSc
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag London

About this chapter

Cite this chapter

Lindblad, T., Kinser, J.M. (1998). PCNN Image Processing. In: Image Processing using Pulse-Coupled Neural Networks. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3617-0_3

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-3617-0_3

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76264-5

  • Online ISBN: 978-1-4471-3617-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation