Machine Vision: Theory, Algorithms, Practicalities / Edition 2

Machine Vision: Theory, Algorithms, Practicalities / Edition 2

by E. R. R. Davies, Davies
     
 

ISBN-10: 012206092X

ISBN-13: 9780122060922

Pub. Date: 01/28/1997

Publisher: Elsevier Science & Technology Books

The field of machine vision has expanded extensively since the First Edition of Machine Vision was published by Academic Press in 1990. As a result, this Second Edition contains significant amounts of new material on artificial neural networks, mathematical morphology, motion, invariance, texture analysis, x-ray inspection, and foreign object detection.…  See more details below

Overview

The field of machine vision has expanded extensively since the First Edition of Machine Vision was published by Academic Press in 1990. As a result, this Second Edition contains significant amounts of new material on artificial neural networks, mathematical morphology, motion, invariance, texture analysis, x-ray inspection, and foreign object detection. Intermediate level vision is examined in depth (especially Hough transforms), and automated visual inspectionis discussed. The author takes care to consider theoretical aspects as well as practical applications, including perspective invariants and robust statistics. Written in a user-friendly style and full of up-to-date methods, Machine Vision, Second Edition will be an essential volume for students and professionals in the field.

Key Features
* Gives considerable emphasis to robust analysis of images to demonstrate how problems of occlusion, noise, distortion, and variability may be overcome
* Introduces Hough transforms as an integral part of the text and shows how they may be applied in a variety of situations
* Presents the topic of robust statistics non-mathematically in the context of vision algorithms
* Considers the role of neural networks in machine vision
* Shows how the concepts of perspective invariance provide basic strategies for 2-D and 3-D vision
* Studies image transformations and the prespective n-point problem systematically to clarify how interpretation may proceed in various geometrical situations
* Pays special attention to the detection of defects, foreign objects, and real-time implementation hardware in consideration of automated visual inspection

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Product Details

ISBN-13:
9780122060922
Publisher:
Elsevier Science & Technology Books
Publication date:
01/28/1997
Series:
Signal Processing and Its Applications Series
Edition description:
Older Edition
Pages:
750
Product dimensions:
5.94(w) x 9.04(h) x 1.36(d)

Table of Contents

Preface to First Edition
Preface to Second Edition
About the Author
Glossary of Acronyms and Abbreviations
Acknowledgements
1Vision, the Challenge1
2Images and Imaging Operations19
3Basic Image Filtering Operations41
4Thresholding Techniques79
5Locating Objects via Their Edges103
6Binary Shape Analysis131
7Boundary Pattern Analysis171
8Line Detection195
9Circle Detection211
10The Hough Transform and Its Nature245
11Ellipse Detection271
12Hole Detection291
13Polygon and Corner Detection309
14Abstract Pattern Matching Techniques347
15The Three-Dimensional World373
16Tackling the Perspective N-Point Problem417
17Motion431
18Invariants and Their Applications455
19Automated Visual Inspection471
20Statistical Pattern Recognition503
21Biologically Inspired Recognition Schemes529
22Texture561
23Image Acquisition583
24The Need for Speed: Real-Time Electronic Hardware Systems603
25Machine Vision, Art or Science?623
App. AProgramming Notation635
App. BMathematical Morphology647
App. CImage Transformations and Camera Calibration663
App. DRobust statistics677
References695
Subject Index725
Author Index741

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