Machine Vision: Theory, Algorithms, Practicalities

✍ Scribed by E. R. Davies

• Publisher: Academic Press
• Year: 1991
• Tongue: English
• Leaves: 552
• Series: Microelectronics and Signal Processing Series
• Category: Library

✦ Synopsis

Machine Vision: Theory, Algorithms, Practicalities covers the limitations, constraints, and tradeoffs of vision algorithms. This book is organized into four parts encompassing 21 chapters that tackle general topics, such as noise suppression, edge detection, principles of illumination, feature recognition, Bayes’ theory, and Hough transforms.

Part 1 provides research ideas on imaging and image filtering operations, thresholding techniques, edge detection, and binary shape and boundary pattern analyses. Part 2 deals with the area of intermediate-level vision, the nature of the Hough transform, shape detection, and corner location. Part 3 demonstrates some of the practical applications of the basic work previously covered in the book. This part also discusses some of the principles underlying implementation, including on lighting and hardware systems. Part 4 highlights the limitations and constraints of vision algorithms and their corresponding solutions.

This book will prove useful to students with undergraduate course on vision for electronic engineering or computer science.

✦ Table of Contents

Content:
MICROELECTRONICS AND SIGNAL PROCESSING, Page ii
Front Matter, Page iii
Copyright, Page iv
Preface, Pages v-viii
Acknowledgements, Pages ix-x
About the Author, Page xxii
Glossary of Acronyms and Abbreviations, Pages xxiii-xxiv
1 - Vision, the Challenge, Pages 1-15
Introduction to Low-Level Processing, Page 17
2 - Images and Imaging Operations, Pages 19-39
3 - Basic Image Filtering Operations, Pages 40-76
4 - Thresholding Techniques, Pages 77-99
5 - Locating Objects via Their Edges, Pages 100-127
6 - Binary Shape Analysis, Pages 128-167
7 - Boundary Pattern Analysis, Pages 168-188
Introduction to Intermediate-Level Processing, Page 189
8 - Line Detection, Pages 191-206
9 - Circle Detection, Pages 207-239
10 - The Hough Transform and Its Nature, Pages 240-264
11 - Ellipse Detection, Pages 265-283
12 - Polygon Detection, Pages 284-300
13 - Hole Detection, Pages 301-322
14 - Corner Location, Pages 323-341
Introduction to Application-Level Processing, Page 343
15 - Abstract Pattern Matching Techniques, Pages 345-368
16 - The Three-Dimensional World, Pages 369-410
17 - Automated Visual Inspection, Pages 411-434
18 - Statistical Pattern Recognition, Pages 435-451
19 - Image Acquisition, Pages 452-470
20 - The Need for Speed: Real-Time Electronic Hardware Systems, Pages 471-487
Introduction to Perspectives on Vision, Page 489
21 - Machine Vision, Art or Science?, Pages 491-502
Appendix - Programming Notation, Pages 503-514
References, Pages 515-530
Subject Index, Pages 531-541
Author Index, Pages 542-547