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Vision and Information Processing for Automation

  • Arthur Browne
  • Leonard Norton-Wayne

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Arthur Browne, Leonard Norton-Wayne
    Pages 1-28
  3. Arthur Browne, Leonard Norton-Wayne
    Pages 29-73
  4. Arthur Browne, Leonard Norton-Wayne
    Pages 75-105
  5. Arthur Browne, Leonard Norton-Wayne
    Pages 107-172
  6. Arthur Browne, Leonard Norton-Wayne
    Pages 173-217
  7. Arthur Browne, Leonard Norton-Wayne
    Pages 219-256
  8. Arthur Browne, Leonard Norton-Wayne
    Pages 257-299
  9. Arthur Browne, Leonard Norton-Wayne
    Pages 301-338
  10. Arthur Browne, Leonard Norton-Wayne
    Pages 339-364
  11. Arthur Browne, Leonard Norton-Wayne
    Pages 365-392
  12. Arthur Browne, Leonard Norton-Wayne
    Pages 393-459
  13. Arthur Browne, Leonard Norton-Wayne
    Pages 461-475
  14. Back Matter
    Pages 477-484

About this book

Introduction

Developments in electronic hardware, particularly microprocessors and solid-state cameras, have resulted in a vast explosion in the range and variety of applications to which intelligent processing may be applied to yield cost-effective automation. Typical examples include automated visual inspection and repetitive assembly. The technology required is recent and specialized, and is thus not widely known. VISION AND INFORMATION PROCESSING FOR AUTOMATION has arisen from a short course given by the authors to introduce potential users to the technology. Its content is a development and extension of material presented in the course. The objective of the book is to introduce readers to modern concepts and techniques basic to intelligent automation, and explain how these are applied to prac­ tical problems. Its emphasis is on machine vision. Intelligent instrumentation is concerned with processing infor­ mation, and an appreciation of the nature of information is essential in configuring instrumentation to handle it effiCiently. An understand­ ing of the fundamental principles of efficient computation and of the way in which machines make decisions is vital for the same reasons. Selection of appropriate sensing (e.g., camera type and configuration), of illumination, of hardware for processing (microchip or parallel processor?) to give most effective information flow, and of the most appropriate processing algorithms is critical in obtaining an optimal solution. Analysis of performance, to demonstrate that requirements have been met, and to identify the causes if they have not, is also important. All of these topics are covered in this volume.

Keywords

Hardware Potential Processing Sensor Signal algorithm algorithms automation calculus development information information processing microprocessor performance robot

Authors and affiliations

  • Arthur Browne
    • 1
  • Leonard Norton-Wayne
    • 2
  1. 1.Philips Research LaboratoriesRedhill, SurreyEngland
  2. 2.Leicester PolytechnicLeicesterEngland

Bibliographic information

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