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Machine Vision E. R. Davies (Emeritus Professor of Machine Vision, Royal Holloway, University of London, UK)

Machine Vision By E. R. Davies (Emeritus Professor of Machine Vision, Royal Holloway, University of London, UK)

Summary

Machine vision has evolved into a mature field embracing a range of applications including surveillance, automated inspection and analysis of remotely sensed images. This work presents coverage of 2-D and 3-D scene analysis. It offers a treatment of the Hough Transform - a key technique for inspection and surveillance.

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Machine Vision Summary

Machine Vision: Theory, Algorithms, Practicalities by E. R. Davies (Emeritus Professor of Machine Vision, Royal Holloway, University of London, UK)

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.

Machine Vision Reviews

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

About E. R. Davies (Emeritus Professor of Machine Vision, Royal Holloway, University of London, UK)

Roy Davies is Emeritus Professor of Machine Vision at Royal Holloway, University of London. He has worked on many aspects of vision, from feature detection to robust, real-time implementations of practical vision tasks. His interests include automated visual inspection, surveillance, vehicle guidance, crime detection and neural networks. He has published more than 200 papers, and three books. Machine Vision: Theory, Algorithms, Practicalities (1990) has been widely used internationally for more than 25 years, and is now out in this much enhanced fifth edition. Roy holds a DSc at the University of London, and has been awarded Distinguished Fellow of the British Machine Vision Association, and Fellow of the International Association of Pattern Recognition.

Table of 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

Additional information

CIN0122060938VG
9780122060939
0122060938
Machine Vision: Theory, Algorithms, Practicalities by E. R. Davies (Emeritus Professor of Machine Vision, Royal Holloway, University of London, UK)
Used - Very Good
Hardback
Elsevier Science & Technology
20050120
968
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

Customer Reviews - Machine Vision