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Intelligent Vision Systems for Industry

  • Book
  • © 1997

Overview

Authors:
  1. Bruce G. Batchelor

    1. Department of Computer Science, University of Wales, Cardiff, UK

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  2. Paul F. Whelan

    1. School of Electronic Engineering, Dublin City University, Glasnevin, Dublin 9, Ireland

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    You can also search for this author in PubMed   Google Scholar

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Table of contents (8 chapters)

  1. Front Matter

    Pages I-XXI
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  2. Basic Concepts

    • Bruce G. Batchelor, Paul F. Whelan
    Pages 1-18

  3. Basic Machine Vision Techniques

    • Bruce G. Batchelor, Paul F. Whelan
    Pages 19-65

  4. Intelligent Image Processing

    • Bruce G. Batchelor, Paul F. Whelan
    Pages 66-100

  5. Enhanced Intelligent Systems

    • Bruce G. Batchelor, Paul F. Whelan
    Pages 101-159

  6. Controlling External Devices

    • Bruce G. Batchelor, Paul F. Whelan
    Pages 160-205

  7. Colour Image Recognition

    • Bruce G. Batchelor, Paul F. Whelan
    Pages 206-294

  8. Applications of Intelligent Vision

    • Bruce G. Batchelor, Paul F. Whelan
    Pages 295-379

  9. Concluding Remarks

    • Bruce G. Batchelor, Paul F. Whelan
    Pages 380-382

  10. Back Matter

    Pages 383-457
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Keywords

About this book

The application of intelligent imaging techniques to industrial vision problems is an evolving aspect of current machine vision research. Machine vision is a relatively new technology, more concerned with systems engineering than with computer science, and with much to offer the manufacturing industry in terms of improving efficiency, safety and product quality. Beginning with an introductory chapter on the basic concepts, the authors develop these ideas to describe intelligent imaging techniques for use in a new generation of industrial imaging systems. Sections cover the application of AI languages such as Prolog, the use of multi-media interfaces and multi-processor systems, external device control, and colour recognition. The text concludes with a discussion of several case studies that illustrate how intelligent machine vision techniques can be used in industrial applications.

Authors and Affiliations

  • Department of Computer Science, University of Wales, Cardiff, UK

    Bruce G. Batchelor

  • School of Electronic Engineering, Dublin City University, Glasnevin, Dublin 9, Ireland

    Paul F. Whelan

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