Machine Vision Theory, Algorithms, Practicalities

Assembly Automation

ISSN: 0144-5154

Article publication date: 1 September 2005

722

Keywords

Citation

Bogue, R.W. (2005), "Machine Vision Theory, Algorithms, Practicalities", Assembly Automation, Vol. 25 No. 3. https://doi.org/10.1108/aa.2005.03325cae.001

Publisher

:

Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited


Machine Vision Theory, Algorithms, Practicalities

E.R. DaviesMorgan Kaufmann/Elsevier3rd EditionJanuary 20050-12-206093-8934 pp£49.99 (hardcover)www.books.elsevier.com

Keywords: Machine vision, Image processing, Books, Algorithmic languages

The first edition of "Machine Vision" was published in 1990 and rapidly became the standard text for undergraduate students, post-graduates and industrialists alike. Since then, advances in this field have been rapid and far-reaching and this third edition aims to update the original text. It now includes additional material on topics such as 3D vision, artificial neural networks, X-ray inspection, motion analysis, foreign object detection, textural analysis, mathematical morphology and robust statistics. Running to almost one thousand pages and split into five parts with 29 chapters and featuring line drawings, monochrome and colour photographs, this text provides a technical, virtually comprehensive and highly accessible and readable treatment of the topic. In the main, each part builds on what has gone before; following an introductory chapter, the first part, "Low-Level Vision", introduces the reader to basic concepts such as the gray-scale, image filtering, shape analysis and edge detection. This is followed by sections on more complex topics: intermediate-level vision, 3D vision and motion, real-time pattern recognition and a final short part entitled "Perspectives on Vision" which is followed by an appendix and no less than 47 pages of references. In addition to fulfilling its primary role as a teaching aid, this book contains the necessary technical and practical information for machine vision practitioners to design their own imaging algorithms and systems. The diversity of case studies, which cover topics ranging from monitoring traffic flow to locating insects in cereals, strengthen further its practical value. This book is very competitively priced and highly recommended and like previous editions it will undoubtedly become the essential reference on this important and rapidly developing topic.

R.W. Bogue

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