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Machine Vision, Second Edition: Theory, Algorithms, Practicalities (Signal Processing and its Applications) Hardcover – November 5, 1996

ISBN-13: 978-0122060922 ISBN-10: 012206092X Edition: 2nd

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Product Details

  • Series: Signal Processing and its Applications
  • Hardcover: 750 pages
  • Publisher: Morgan Kaufmann; 2 edition (November 5, 1996)
  • Language: English
  • ISBN-10: 012206092X
  • ISBN-13: 978-0122060922
  • Product Dimensions: 9 x 5.9 x 1.4 inches
  • Shipping Weight: 2.6 pounds
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #5,347,241 in Books (See Top 100 in Books)

Editorial Reviews

About the Author

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.


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Customer Reviews

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Most Helpful Customer Reviews

6 of 6 people found the following review helpful By Gamal Seedahmed on February 19, 2002
Format: Hardcover
First of all I like this book very much. This book provides a solid and concrete foundation to computer vision from engineering point of view. The basic issues are treated very well in the conceptual and practical levels (e.g. edge detection). I came from a photogrammetry background, which means that the geometric aspects are very dominant in my thinking, and this book emphasize many geometric concepts in computer vision specially the treatment of Hough Transform as a main theme in the book. I recommend this book to the practitioners in spatial sciences (GIS, Remote sensing, Photogrammetry, etc) as well as the general community of computer vision.
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5 of 5 people found the following review helpful By Peter Jensen on August 3, 2001
Format: Hardcover
Covers many aspects of vision, from basic image processing through high level scene analysis. It doesn't always go down to the nitty-gritty source code level for every topic, but it does provide the direction to handle most every common machine vision problem. Of the ten or so general machine vision books on my easy-access shelf, this is the one I seem to pull down the most.
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4 of 5 people found the following review helpful By A Customer on June 6, 2000
Format: Hardcover
A very clearly structured book which is useful as a reference. Covers a lot of subjects (filtering, detection of shapes [lines, circles, holes and more], pattern matching/recognition, motion, invariants, ...), including the implementation aspects (hard/software). The chapters sometimes do not go much into deep but provide further references. Recommended book!
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