Vision and Information Processing for Automation

1. Front Matter

   Pages i-xiv

   PDF

2. Introduction

   • Arthur Browne, Leonard Norton-Wayne

   Pages 1-28

3. Signal Processing for Intelligent Automation

   • Arthur Browne, Leonard Norton-Wayne

   Pages 29-73

4. Introduction to Machine Pattern Recognition

   • Arthur Browne, Leonard Norton-Wayne

   Pages 75-105

5. Scanning Systems

   • Arthur Browne, Leonard Norton-Wayne

   Pages 107-172

6. Optics and Lighting

   • Arthur Browne, Leonard Norton-Wayne

   Pages 173-217

7. Nonvision Sensors, Range Finders, and Processing

   • Arthur Browne, Leonard Norton-Wayne

   Pages 219-256

8. Robot Systems

   • Arthur Browne, Leonard Norton-Wayne

   Pages 257-299

9. Vision: Human and Machine

   • Arthur Browne, Leonard Norton-Wayne

   Pages 301-338

10. Robot Vision Systems and Applications

    • Arthur Browne, Leonard Norton-Wayne

    Pages 339-364

11. Hardware for Intelligent Automation

    • Arthur Browne, Leonard Norton-Wayne

    Pages 365-392

12. Case Studies

    • Arthur Browne, Leonard Norton-Wayne

    Pages 393-459

13. Future Directions

    • Arthur Browne, Leonard Norton-Wayne

    Pages 461-475

14. Back Matter

    Pages 477-484

    PDF

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.

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

• Philips Research Laboratories, Redhill, Surrey, England

  Arthur Browne

• Leicester Polytechnic, Leicester, England

  Leonard Norton-Wayne

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