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Knowledge-Based Image Processing Systems

  • Textbook
  • © 1997

Overview

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

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    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
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  2. Knowledge-Based Systems: An Overview

    1. Front Matter

      Pages 1-1
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    2. Introduction to Knowledge-Based Systems

      • D. Graham
      Pages 3-13

    3. Knowledge-Based System Architectures and Applications

      • D. Graham
      Pages 15-26

    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
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    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
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    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
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Keywords

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.

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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