Bruce G. Batchelor Knihy

Intelligent Machine Vision: Techniques, Implementations & Applications brings together the central issues involved in this exciting and topical subject. Drawing on half a century of combined experience, the authors describe state of the art and the latest developments in the field, including: - fundamentals of 'intelligent' image processing, specifically intended for Machine Vision systems; - algorithm optimization; - implementation in high-speed electronic digital hardware; - implementation in an integrated high-level software environment; - applications for industrial product quality and process control. There are hundreds of illustrations in the book, most of them created using the author's 'PIP' software - a sophisticated intelligent image processing package. A demonstration version of this software, as well as numerous examples from the book, are available at the authors' Web site: http://bruce. cs. cf. ac. uk/bruce/index. html

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.