Machine Vision : Theory, Algorithms, Practicalities

"This book brings together the analytic aspects of image processing with the practicalities of applying the techniques in an industrial setting. It is excellent grounding for a machine vision researcher."
- John Billingsley, University of Southern Queensland

"The book in its previous incarnations has established its place as a unique repository of detailed analysis of important image processing and computer vision algorithms."
- Farzin Deravi, University of Kent

"This book is an essential reference for anyone developing techniques for machine vision analysis, including systems for industrial inspection, biomedical analysis, and much more."
- Majid Mirmehdi, University of Bristol

"The book contains a large number of experimental design and evaluation procedures that are of keen interest to industrial application engineers of machine vision."
- William Wee, University of Cincinnati

"Author E.R. Davies covers essential elements of the theory while addressing algorithmic and practical design constraints."
- Mechanical Engineering, August 2006
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1. Vision, the Challenge

Part 1 Low-Level Vision
2. Images and Imaging Operations
3. Basic Image Filtering Operations
4. Thresholding Techniques
5. Edge Detection
6. Binary Shape Analysis
7. Boundary Pattern Analysis
8. Mathematical Morphology

Part 2 Intermediate-Level Vision
9. Line Detection
10. Circle Detection
11. The Hough Transform and Its Nature
12. Ellipse Detection
13. Hole Detection
14. Polygon and Corner Detection
15. Abstract Pattern Matching Techniques

Part 3 3-D Vision and Motion
16. The Three-Dimensional World
17. Tackling the Perspective n-Point Problem
18. Motion
19. Invariants and their Applications
20. Egomotion and Related Tasks
21. Image Transformations and Camera Calibration

Part 4 Towards Real-Time Pattern Recognition Systems
22. Automated Visual Inspection
23. Inspection of Cereal Grains
24. Statistical Pattern Recognition
25. Biologically Inspired Recognition Schemes
26. Texture
27. Image Acquisition
28. Real-Time Hardware and Systems Design Considerations

Part 5 Perspectives on Vision
29. Machine Vision, Art or Science?

Appendix A Robust Statistics
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Roy Davies is a Professor of Machine Vision at Royal Holloway, University of London, and has extensive experience of machine vision, image analysis, automated visual inspection, and noise suppression techniques. His book Electronics, Noise, and Signal Recovery was published in 1993 by Academic Press, and is a useful companion to the present volume.
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"This book brings together the analytic aspects of image processing with the practicalities of applying the techniques in an industrial setting. It is excellent grounding for a machine vision researcher.
- John Billingsley, University of Southern Queensland

"The book in its previous incarnations has established its place as a unique repository of detailed analysis of important image processing and computer vision algorithms. This edition builds on these strengths and adds material to guide the reader's understanding of the latest developments in the field. The result is a comprehensive up-to-date reference text.
- Farzin Deravi, University of Kent

"This book is an essential reference for anyone developing techniques for machine vision analysis, including systems for industrial inspection, biomedical analysis, and much more. It comes from a long-term practitioner and is packed with the fundamental techniques required to build and prototype methods to test their applicability to the problem at hand.
- Majid Mirmehdi, University of Bristol

"The book contains a large number of experimental design and evaluation procedures that are of keen interest to industrial application engineers of machine vision.
- William Wee, University of Cincinnati

"Author E.R. Davies covers essential elements of the theory while addressing algorithmic and practical design constraints. In this updated edition, he divides the material into horizontal levels of a complete machine vision system. He includes coverage of 2-D and 3-D scene analysis, along with the Hough Transform, a key technique for inspection and surveillance.
- Mechanical Engineering, August 2006 "This book brings together the analytic aspects of image processing with the practicalities of applying the techniques in an industrial setting. It is excellent grounding for a machine vision researcher.
- John Billingsley, University of Southern Queensland

"The book in its previous incarnations has established its place as a unique repository of detailed analysis of important image processing and computer vision algorithms. This edition builds on these strengths and adds material to guide the reader's understanding of the latest developments in the field. The result is a comprehensive up-to-date reference text.
- Farzin Deravi, University of Kent

"This book is an essential reference for anyone developing techniques for machine vision analysis, including systems for industrial inspection, biomedical analysis, and much more. It comes from a long-term practitioner and is packed with the fundamental techniques required to build and prototype methods to test their applicability to the problem at hand.
- Majid Mirmehdi, University of Bristol

"The book contains a large number of experimental design and evaluation procedures that are of keen interest to industrial application engineers of machine vision.
- William Wee, University of Cincinnati

"Author E.R. Davies covers essential elements of the theory while addressing algorithmic and practical design constraints. In this updated edition, he divides the material into horizontal levels of a complete machine vision system. He includes coverage of 2-D and 3-D scene analysis, along with the Hough Transform, a key technique for inspection and surveillance.
- Mechanical Engineering, August 2006
show more