Machine Vision (McGraw-Hill Series in Computer Science) [Hardcover]

Ramesh C. Jain (Author), Rangacher Kasturi (Author), Brian G. Schunck (Author)

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Product details

Hardcover: 549 pages
Publisher: McGraw Hill Higher Education (1 May 1995)
Language English
ISBN-10: 0070320187
ISBN-13: 978-0070320185
Product Dimensions: 24.3 x 19.6 x 2.8 cm
Amazon Bestsellers Rank: 1,181,731 in Books (See Top 100 in Books)
- #79 in Books > Science & Nature > Popular Science > Artificial Intelligence

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Product Description

This introduction to the field of computer vision focuses on basic concepts and techniques. The thrust is to give practitioners what they need to know to develop a practical machine vision system. Binary vision, segmentation, constraint propagation techniques are presented as are camera calibration, color and texture, detection of motion, and object recognition. This text is appropriate for use in Computer Science and Electrical Engineering departments at the senior and graduate level.

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Amazon.com: 2 reviews

11 of 14 people found the following review helpful

Machine Vision 30 April 2000

By A Customer - Published on Amazon.com

Format:Hardcover

This book has a thorough discussion of the topics of computer vision. It starts with the basic elements of computer images and eventually explains stereo images and 3-dimensionality.

I would not suggest this book for someone who wants samples of code, because this book does not have any. This book is designed for people interested in the theory of computer vision and can take that theory and apply it themselves. A strong background in math is needed for this book.

0 of 2 people found the following review helpful

complete text 21 Oct 2004

By Beat Ackermann - Published on Amazon.com

Format:Hardcover

Interesting and rather complete introduction to machine vision and provides enough information for implementation of practical algorithms. It covers many of the theories useful for information extraction.

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