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  • Textbook
  • © 1997

Knowledge-Based Image Processing Systems

Authors:

  1. Deryn Graham

    1. Department of Computer Science and Information Systems at St. John’s, Brunel University, Middlesex, UK

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  2. Anthony Barrett

    1. Department of Computer Science and Information Systems at St. John’s, Brunel University, Middlesex, UK

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: Applied Computing (APPLCOMP)

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xiii
    PDF

  2. Knowledge-Based Systems: An Overview

    1. Front Matter

      Pages 1-1
      PDF

    4. Knowledge Elicitation

      • D. Graham
      Pages 27-40

    5. Knowledge Representation

      • D. Graham
      Pages 41-55

    6. Neural Networks

      • D. Martland
      Pages 57-80

  3. Image Processing: An Overview

    1. Front Matter

      Pages 81-81
      PDF

    2. Introduction to Image Processing

      • A. Barrett
      Pages 83-90

    3. Frequency Space Analysis

      • A. Barrett
      Pages 91-104

    4. Image Enhancement in Real Space

      • A. Barrett
      Pages 105-116

    5. Image Segmentation and Analysis

      • A. Barrett
      Pages 117-127

  4. Knowledge-Based Systems and Image Processing

    1. Front Matter

      Pages 129-129
      PDF

    2. Introduction

      • D. Graham, A. Barrett
      Pages 131-132

    3. Current Knowledge-Based Image Processing Systems

      • D. Graham, A. Barrett
      Pages 133-142

    4. Knowledge-Based Image Processing: The Way Forward

      • D. Graham, A. Barrett
      Pages 143-145

    5. Summary and Conclusions

      • D. Graham, A. Barrett
      Pages 147-150

  5. Back Matter

    Pages 151-178
    PDF
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About this book

Knowledge-based (or expert systems) and image processing have been applied to many domains but, although both fields frequently address common application areas, they are rarely applied together. Often a combined knowledge-based system and image processing approach can be highly appropriate and this book provides an insight into both areas and show students how a judicious mix of the two can result in a more effective system. The authors include detailed case studies to illustrate the two approaches as well as worked examples and solutions to problems throughout the text. Third and fourth year undergraduates and MSc students with some computer science background will find this book invaluable. Postgraduates and researchers looking for an introduction to either area - or ways to combine the two - will also welcome this clearly written and comprehensive text.
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Keywords

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Authors and Affiliations

  • Department of Computer Science and Information Systems at St. John’s, Brunel University, Middlesex, UK

    Deryn Graham, Anthony Barrett

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Bibliographic Information

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Buy it now

eBook USD 34.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 49.95
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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