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  • Textbook
  • © 1995

Applied Image Processing

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xvi
  2. Design of Industrial Machine Vision Systems

    • G. J. Awcock, R. Thomas
    Pages 1-24
  3. Scene Constraints

    • G. J. Awcock, R. Thomas
    Pages 25-58
  4. Image Acquisition

    • G. J. Awcock, R. Thomas
    Pages 59-89
  5. Image Preprocessing

    • G. J. Awcock, R. Thomas
    Pages 90-125
  6. Segmentation

    • G. J. Awcock, R. Thomas
    Pages 126-147
  7. Feature Extraction

    • G. J. Awcock, R. Thomas
    Pages 148-175
  8. Pattern Classification

    • G. J. Awcock, R. Thomas
    Pages 176-203
  9. Image Understanding: Towards Universal Capability

    • G. J. Awcock, R. Thomas
    Pages 204-226
  10. Image Processing Case Histories

    • G. J. Awcock, R. Thomas
    Pages 227-291
  11. Back Matter

    Pages 292-300

About this book

Written from an engineering perspective, this book incorporates a thorough theoretical introduction to the underlying disciplines via its treatment of a generic machine vision system model. Dedicated chapters introduce image acquisition techniques matched to constrained environments, image processing, segmentation, feature extraction, pattern classification (including neural approaches) and interpreting two- dimensional views of the three-dimensional world. It is richly illustrated with case studies of image processing in a wide range of application domains.

Authors and Affiliations

  • Department of Electrical and Electronic Engineering, University of Brighton, UK

    G. J. Awcock, R. Thomas

Bibliographic Information