Intelligent Machine Vision
Techniques, Implementations and Applications
Published on 8. October 2012
Book
Paperback/Softback
XXIV, 422 pages
978-1-4471-1129-0 (ISBN)
Description
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
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
More details
Edition
Softcover reprint of the original 1st ed. 2001
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Research
Illustrations
XXIV, 422 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 25 mm
Weight
680 gr
ISBN-13
978-1-4471-1129-0 (9781447111290)
DOI
10.1007/978-1-4471-0239-7
Schweitzer Classification
Other editions
Additional editions
Bruce Batchelor | Frederick Waltz
Intelligent Machine Vision
Techniques, Implementations and Applications
E-Book
12/2012
Springer
€96.29
Available for download
Bruce Batchelor | Frederick Waltz
Intelligent Machine Vision
Techniques, Implementations and Applications
Book
08/2001
Springer
€106.99
Shipment within 10-15 days
Content
1 Machine vision for industrial applications.- 1.1 Natural and artificial vision.- 1.2 Artificial vision.- 1.3 Machine Vision is not Computer Vision.- 1.4 Four case studies.- 1.5 Machine Vision is engineering, not science.- 1.6 Structure, design, and use of machine vision systems.- 1.7 Other design tools.- 1.8 Outline of this book.- 2 Basic machine vision techniques.- 2.1 Representations of images.- 2.2 Elementary image-processing functions.- 2.3 Binary images.- 2.4 Binary mathematical morphology.- 2.5 Grey-scale morphology.- 2.6 Global image transforms.- 2.7 Texture analysis.- 2.8 Further remarks.- 3 Algorithms, approximations, and heuristics.- 3.1 Introduction.- 3.2 Changing image representation.- 3.3 Redefining algorithms.- 3.4 Approximate and heuristic methods.- 3.5 Additional remarks.- 4 Systems engineering.- 4.1 Interactive and target vision systems.- 4.2 Interactive vision systems, general principles.- 4.3 Prolog image processing (PIP).- 4.4 Advanced aspects of PIP.- 4.5 Windows image processing (WIP).- 4.6 Web-based image processing (CIP).- 4.7 Target (factory floor) vision systems.- 4.8 Concluding remarks.- 5 Algorithms and architectures for fast execution.- 5.1 Classification of operations.- 5.2 Implementation of monadic pixel-by-pixel operations.- 5.3 Implementation of dyadic pixel-by-pixel operations.- 5.4 Implementation of monadic neighborhood operations.- 5.5 Implementation of monadic global operations.- 5.6 SKIPSM - a powerful implementation paradigm.- 5.7 Image-processing architectures.- 5.8 Systems with random access to image memory.- 5.10 Systems for continuous web-based processing.- 6 Adding intelligence.- 6.1 Preliminary remarks.- 6.2 Implementing image-processing operators.- 6.3 Very Simple Prologs+ (VSP).- 6.4 PIP.- 6.5 WIP.- 6.6 Concludingremarks.- 7 Vision systems on the Internet.- 7.1 Stand-alone and networked systems.- 7.2 Java.- 7.4 CIP.- 7.5 Remarks.- 8 Visual programming for machine vision.- 8.1 Design outline.- 8.2 Data types.- 8.3 Nonlinear feedback blocks.- 8.4 Visual programming environment.- 8.5 Image viewer and tools.- 8.6 Sample problems.- 8.7 Summary.- 9 Application case studies.- 9.1 Preliminary remarks.- 9.2 Taking a broad view.- 9.3 Cracks in ferrous components.- 9.4 Aerosol spray cone.- 9.5 Glass vial.- 9.6 Coin.- 9.7 Metal grid.- 9.8 Toroidal metal component.- 9.9 Mains power plug (X-ray).- 9.10 Conclusions.- 10 Final remarks.- 10.1 Interactive prototyping systems.- 10.2 Target vision systems.- 10.3 Design tools.- 10.4 Networked systems.- 10.5 Systems integration.- 10.6 Algorithms and heuristics.- 10.7 Concluding comments.- Appendix A Programmable color filter.- Representation of color.- Color triangle.- Mapping RGB to HSI.- Programmable color filter (PCF).- Software.- Appendix B A brief introduction to Prolog.- Prolog is different.- Declarative programming.- Facts.- Simple queries.- Rules.- Queries involving rules.- Backtracking and instantiation.- Recursion.- Lists.- Other features.- Further reading.- Appendix C PIP commands and their implementation.- References.- Further reading.