Intelligent Vision Systems for Industry

✍ Scribed by Professor Bruce G. Batchelor, Dr Paul F. Whelan (auth.)

• Publisher: Springer-Verlag London
• Year: 1997
• Tongue: English
• Leaves: 474
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages I-XXI
Basic Concepts....Pages 1-18
Basic Machine Vision Techniques....Pages 19-65
Intelligent Image Processing....Pages 66-100
Enhanced Intelligent Systems....Pages 101-159
Controlling External Devices....Pages 160-205
Colour Image Recognition....Pages 206-294
Applications of Intelligent Vision....Pages 295-379
Concluding Remarks....Pages 380-382
Back Matter....Pages 383-457

✦ Subjects

Image Processing and Computer Vision; Manufacturing, Machines, Tools; Electrical Engineering; Engineering Economics, Organization, Logistics, Marketing; Control, Robotics, Mechatronics