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Intelligent Vision Systems for Industry

  • Bruce G. Batchelor
  • Paul F. Whelan

Table of contents

  1. Front Matter
    Pages I-XXI
  2. Bruce G. Batchelor, Paul F. Whelan
    Pages 1-18
  3. Bruce G. Batchelor, Paul F. Whelan
    Pages 19-65
  4. Bruce G. Batchelor, Paul F. Whelan
    Pages 66-100
  5. Bruce G. Batchelor, Paul F. Whelan
    Pages 101-159
  6. Bruce G. Batchelor, Paul F. Whelan
    Pages 160-205
  7. Bruce G. Batchelor, Paul F. Whelan
    Pages 206-294
  8. Bruce G. Batchelor, Paul F. Whelan
    Pages 295-379
  9. Bruce G. Batchelor, Paul F. Whelan
    Pages 380-382
  10. Back Matter
    Pages 383-457

About this book

Introduction

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.

Keywords

Rover calibration control controlling image processing machine vision mathematical morphology programmable logic controller stability

Authors and affiliations

  • Bruce G. Batchelor
    • 1
  • Paul F. Whelan
    • 2
  1. 1.Department of Computer ScienceUniversity of WalesCardiffUK
  2. 2.School of Electronic EngineeringDublin City UniversityGlasnevin, Dublin 9Ireland

Bibliographic information