Computer and Machine Vision

4th Edition

Theory, Algorithms, Practicalities

Authors: E. R. Davies
Hardcover ISBN: 9780123869081
eBook ISBN: 9780123869913
Imprint: Academic Press
Published Date: 5th March 2012
Page Count: 912
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Description

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

Key Features

  • 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

Readership

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

Table of Contents

Dedication

Topics Covered in Application Case Studies

Influences Impinging upon Integrated Vision System Design

Foreword

Preface

About the Author

Acknowledgements

Glossary of Acronyms and Abbreviations

Chapter 1. Vision, the Challenge

1.1 Introduction—Man and His Senses

1.2 The Nature of Vision

1.3 From Automated Visual Inspection to Surveillance

1.4 What This Book is About

1.5 The Following Chapters

1.6 Bibliographical Notes

PART 1. Low-level Vision

Chapter 2. Images and Imaging Operations

2.1 Introduction

2.2 Image Processing Operations

2.3 Convolutions and Point Spread Functions

2.4 Sequential Versus Parallel Operations

2.5 Concluding Remarks

2.6 Bibliographical and Historical Notes

2.7 Problems

Chapter 3. Basic Image Filtering Operations

3.1 Introduction

3.2 Noise Suppression by Gaussian Smoothing

3.3 Median Filters

3.4 Mode Filters

3.5 Rank Order Filters

3.6 Reducing Computational Load

3.7 Sharp–Unsharp Masking

3.8 Shifts Introduced by Median Filters

3.9 Discrete Model of Median Shifts

3.10 Shifts Introduced by Mode Filters

3.11 Shifts Introduced by Mean and Gaussian Filters

3.12 Shifts Introduced by Rank Order Filters

3.13 The Role of Filters in Industrial Applications of Vision

3.14 Color in Image Filtering

3.15 Concluding Remarks

3.16 Bibliographical and Historical Notes

3.17 Problems

Chapter 4. Thresholding Techniques

4.1 Introduction

4.2 Region-Growing Methods

4.3 Thresholding

4.4 Adaptive Thresholding

4.5 More Thoroughgoing Approaches to Threshold Selection

4.6 The Global Valley Approach to Thresholding

4.7 Practical Results Obtained Using the Global Valley Method

4.8 Histogram Concavity Analysis<

Details

No. of pages:
912
Language:
English
Copyright:
© Academic Press 2012
Published:
Imprint:
Academic Press
eBook ISBN:
9780123869913
Hardcover ISBN:
9780123869081

About the Author

E. R. Davies

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.

Affiliations and Expertise

Royal Holloway, University of London, U.K.