Machine Vision - Edition 3 - By E. R. Davies Elsevier Inspection Copies

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Machine Vision,

Edition 3 Theory, Algorithms, Practicalities

By E. R. Davies

Publication Date: 22 Dec 2004

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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.

Key Features

· Includes solid, accessible coverage of 2-D and 3-D scene analysis.· Offers thorough treatment of the Hough Transform—a key technique for inspection and surveillance.· Brings vital topics and techniques together in an integrated system design approach.· Takes full account of the requirement for real-time processing in real applications.

About the author

By E. R. Davies, Royal Holloway and Bedford New College

About the Author

Dedication

Foreword

Preface

Acknowledgments

Chapter 1: Vision, the Challenge

Part 1: Low-Level Vision

Images and Imaging Operations

Chapter 2: Images and Imaging Operations

Basic Image Filtering Operations

Chapter 3: Basic Image Filtering Operations

Thresholding Techniques

Chapter 4: Thresholding Techniques

Edge Detection

Chapter 5: Edge Detection

Binary Shape Analysis

Chapter 6: Binary Shape Analysis

Boundary Pattern Analysis

Chapter 7: Boundary Pattern Analysis

Mathematical Morphology

Chapter 8: Mathematical Morphology

Part 2: Intermediate-Level Vision

Line Detection

Chapter 9: Line Detection

Circle Detection

Chapter 10: Circle Detection

The Hough Transform and Its Nature

Chapter 11: The Hough Transform and Its Nature

Ellipse Detection

Chapter 12: Ellipse Detection

Hole Detection

Chapter 13: Hole Detection

Polygon and Corner Detection

Chapter 14: Polygon and Corner Detection

Abstract Pattern Matching Techniques

Chapter 15: Abstract Pattern Matching Techniques

Part 3: 3-D Vision and Motion

The Three-Dimensional World

Chapter 16: The Three-Dimensional World

Tackling the Perspective n-point Problem

Chapter 17: Tackling the Perspective n-point Problem

Motion

Chapter 18: Motion

Invariants and Their Applications

Chapter 19: Invariants and Their Applications

Egomotion and Related Tasks

Chapter 20: Egomotion and Related Tasks

Image Transformations

Chapter 21: Image Transformations and Camera Calibration

Part 4: Toward Real-Time Pattern Recognition Systems

Automated Visual Inspection

Chapter 22: Automated Visual Inspection

Inspection of Cereal Grains

Chapter 23: Inspection of Cereal Grains

Statistical Pattern Recognition

Chapter 24: Statistical Pattern Recognition

Biologically Inspired Recognition Schemes

Chapter 25: Biologically Inspired Recognition Schemes

Texture

Chapter 26: Texture

Image Acquisition

Chapter 27: Image Acquisition

Real-Time Hardware and Systems Design Considerations

Chapter 28: Real-Time Hardware and Systems Design Considerations

Part 5: Perspectives on Vision

Chapter 29: Machine Vision: Art or Science?

Robust Statistics

Appendix A: Robust Statistics

List of Acronyms and Abbreviations

References

Author Index

Subject Index

ISBN: 9780122060939

Page Count: 968

Retail Price : £66.99

Forsyth & Ponce, Computer Vision: A Modern Approach, Pearson Education, 2003, ISBN: 0-13-085198-1
Stockman & Shapiro: Computer Vision, Prentice-Hall, 2001, ISBN: 0-13-030796-3
Trucco/Verri, Introductory Techniques for 3-D Computer Vision, Prentice Hall, 1998, ISBN: 1-13-261108-2
Jain/Kasturi/Schunck, Machine Vision, McGraw-Hill, 1995, ISBN: 0-07-032018-7

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