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Theory, Algorithms, Practicalities
To order this title, and for more information, click here
Third Edition
By
E. R. Davies, Royal Holloway, University of London, U.K.
Included in series
Signal Processing and its Applications,
Description
In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated
inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly
difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own
algorithms and systems. This book directly addresses this need.
As in earlier editions, E.R. Davies clearly and systematically presents
the basic concepts of the field in highly accessible prose and images, covering essential elements of the theory while emphasizing algorithmic
and practical design constraints. In this thoroughly updated edition, he divides the material into horizontal levels of a complete machine
vision system. Application case studies demonstrate specific techniques and illustrate key constraints for designing real-world machine
vision systems.
Audience
Academic and industry researchers in computer science and computer engineering particularly in machine vision, computer vision, and robotics.
Contents
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
| Bibliographic details |
Hardbound, 934 pages, publication date: DEC-2004
ISBN-13: 978-0-12-206093-9
ISBN-10: 0-12-206093-8
Imprint: MORGAN KAUFFMAN
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| Price and Ordering |
Price:
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EUR 75.95
GBP 64
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Last update: 5 Sep 2009
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