Intelligent Machine Vision: Techniques, Implementations and Applications

✍ Scribed by Bruce Batchelor BSc, PhD, CEng, FIEE, FBCS, Frederick Waltz BS, MS, PhD, FRSA (auth.)

• Publisher: Springer-Verlag London
• Year: 2001
• Tongue: English
• Leaves: 436
• Edition: 1
• Category: Library

✦ Synopsis

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

✦ Table of Contents

Front Matter....Pages i-xxiv
Machine vision for industrial applications....Pages 1-29
Basic machine vision techniques....Pages 31-63
Algorithms, approximations, and heuristics....Pages 65-133
Systems engineering....Pages 135-202
Algorithms and architectures for fast execution....Pages 203-229
Adding intelligence....Pages 231-272
Vision systems on the Internet....Pages 273-294
Visual programming for machine vision....Pages 295-315
Application case studies....Pages 317-333
Final remarks....Pages 335-344
Back Matter....Pages 345-422

✦ Subjects

Image Processing and Computer Vision; Computer Graphics