Skip to main content
SpringerLink
Log in

Image Processing using Pulse-Coupled Neural Networks

Applications in Python

  • Book
  • © 2013

Overview

Authors:
  1. Thomas Lindblad

    1. Dept. Physics, Royal Institute of Technology (KTH), Stockholm, Sweden

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Jason M. Kinser

    1. , School of Physics and, George Mason University, Fairfax, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Explains how to learn from nature image recognition
  • Applies pulse-coupled neural networks to image processing
  • Displays many applications accompanied by Python scripts
  • Considers a wide variety of image processing applications
  • Includes supplementary material: sn.pub/extras

Part of the book series: Biological and Medical Physics, Biomedical Engineering (BIOMEDICAL)

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

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (11 chapters)

  1. Front Matter

    Pages i-xxiv
    Download chapter PDF

  2. Biological Models

    • Thomas Lindblad, Jason M. Kinser
    Pages 1-11

  3. Programming in Python

    • Thomas Lindblad, Jason M. Kinser
    Pages 13-33

  4. NumPy, SciPy and Python Image Library

    • Thomas Lindblad, Jason M. Kinser
    Pages 35-56

  5. The PCNN and ICM

    • Thomas Lindblad, Jason M. Kinser
    Pages 57-86

  6. Image Analysis

    • Thomas Lindblad, Jason M. Kinser
    Pages 87-105

  7. Feedback and Isolation

    • Thomas Lindblad, Jason M. Kinser
    Pages 107-125

  8. Recognition and Classification

    • Thomas Lindblad, Jason M. Kinser
    Pages 127-153

  9. Texture Recognition

    • Thomas Lindblad, Jason M. Kinser
    Pages 155-170

  10. Colour and Multiple Channels

    • Thomas Lindblad, Jason M. Kinser
    Pages 171-185

  11. Image Signatures

    • Thomas Lindblad, Jason M. Kinser
    Pages 187-199

  12. Logic

    • Thomas Lindblad, Jason M. Kinser
    Pages 201-208

  13. Back Matter

    Pages 209-238
    Download chapter PDF
Back to top

Keywords

About this book

Image processing algorithms based on the mammalian visual cortex are powerful tools for extraction information and manipulating images. This book reviews the neural theory and translates them into digital models. Applications are given in areas of image recognition, foveation, image fusion and information extraction.
The third edition reflects renewed international interest in pulse image processing with updated sections presenting several newly developed applications. This edition also introduces a suite of Python scripts that assist readers in replicating results presented in the text and to further develop their own applications.

Authors and Affiliations

  • Dept. Physics, Royal Institute of Technology (KTH), Stockholm, Sweden

    Thomas Lindblad

  • , School of Physics and, George Mason University, Fairfax, USA

    Jason M. Kinser

About the authors

Thomas Lindblad got his Ph.D. at the University of Stockholm in 1974, became associate professor two years later. Dr. Lindblad started his research career in nuclear structure and particle physics with a special interest in detector systems. He soon became the head of the section for Measuring Techniques and Information Processing at the Manne Siegbahn Institute of Physics. He was a frequent visitor to laboratories in Oak Ridge, Berkeley, Orsay, Grenoble and Darmstadt. Later professor Lindblad took a special interest in teaching, started Environmental Physics at the Royal Institute of Technology, Department of Physics, where he also was the director of undergraduate studies for several years. During this time his research interests focused on sensor techniques of different kinds and feature extraction of torrent data flows. A special interest was always the use of neural network hardware with applications to these fields and to diagnostics and environmental monitoring.


Jason Kinser received a D.Sc. in Optics and Electro-Optical Systems in 1994 and an M.S. in Physics in 1987. He joined Alabama A&M in 1994 as an associate research professor as a founding member of the Center for Applied Optical Sciences. He joined George Mason University in 1997 and is now an associate professor in the School of Physics and Computational Sciences at GMU. He has been a visiting scientist at the Royal Institute of Technology (Stockholm) and the Korean University (Seoul). He has also been a visiting scientist at Lawrence-Berkeley National Lab and an external examiner at the University of Mauritius. His research interests started with optical and image information processing including pulse image processing and now extends into processing of data existing in multiple domains.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation