Intelligent Machine Vision Techniques, Implementations and Applications [Paperback]

A number of important aspects of intelligent machine vision in one volume, describing the state of the art and current developments in the field, including: fundamentals of 'intelligent'image processing for machine vision systems; algorithm optimisation; implementation in high-speed electronic digital hardware; implementation in an integrated high-level software environment and applications for industrial product quality and process control. Backed by numerous illustrations, created using the authors IP software, this book will be of interest to researchers in the field of machine vision wishing to understand the discipline and develop new techniques. Also useful for under- and postgraduates.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.html1 Machine vision for industrial applications.- 1.1 Natural and artificial vision.- 1.2 Artificial vision.- 1.3 Machine Vision is not Computer Vision.- 1.3.1 Applications.- 1.3.2 Does it matter what we call the subject?.- 1.4 Four case studies.ló(