Computer and Machine Vision

Theory, Algorithms, Practicalities


  • E. R. Davies, Royal Holloway, University of London, U.K.

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject.

Key features include:

  • Practical examples and case studies give the ‘ins and outs’ of developing real-world vision systems, giving engineers the realities of implementing the principles in practice.
  • New chapters containing case studies on surveillance and driver assistance systems give practical methods on these cutting-edge applications in computer vision.
  • Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples.
  • Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging.
  • The ‘recent developments’ section now included in each chapter will be useful in bringing students and practitioners up to date with the subject.

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 and crime detection. He has published more than 200 papers, and three books - Machine Vision: Theory, Algorithms, Practicalities (1990), Electronics, Noise and Signal Recovery (1993), and Image Processing for the Food Industry (2000); the first of these has been widely used internationally for more than 20 years, and is now out in this much enhanced fourth 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.

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Embedded, electronic systems, signal/image processing and computer engineering R&D engineers; post graduates and PhD researchers in machine and computer vision.


Book information

  • Published: March 2012
  • ISBN: 978-0-12-386908-1

Table of Contents

1 Vision, the Challenge
2 Images and Imaging Operations
3 Basic Image Filtering Operations
4 Thresholding Techniques
5 Edge Detection
6 Corner and Interest Point Detection
7 Mathematical Morphology
8 Texture
9 Binary Shape Analysis
10 Boundary Pattern Analysis
11 Line Detection
12 Circle and Ellipse Detection
13 The Hough Transform and Its Nature
14 Abstract Pattern Matching Techniques
15 The Three-Dimensional World
16 Tackling the perspective n-point problem
17 Invariants and perspective
18 Image transformations and camera calibration
19 Motion
20 Automated Visual Inspection
21 Inspection of Cereal Grains
22 Surveillance
23 In-Vehicle Vision Systems24 Statistical Pattern Recognition
25 Image Acquisition
26 Real-Time Hardware and Systems Design Considerations
27 Epilogue-Perspectives in Vision
Appendix Robust statistics
Author Index
Subject Index