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Machine Vision |  | Authors: Ramesh Jain, Rangachar Kasturi, Brian G. Schunck
Publisher: McGraw-Hill Science/Engineering/Math
List Price: $133.75
Buy Used: $65.00
as of 11/23/2009 18:44 CST details
You Save: $68.75 (51%)
Used (12) from $65.00
Rating:  2 reviews
Sales Rank: 685051
Media: Hardcover
Edition: 1
Pages: 549
Number Of Items: 1
Shipping Weight (lbs): 2.1
Dimensions (in): 9.6 x 7.7 x 1.1
ISBN: 0070320187
Dewey Decimal Number: 006.42
EAN: 9780070320185
ASIN: 0070320187
Publication Date: March 1, 1995
Availability: Usually ships in 1-2 business days
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| Editorial Reviews:
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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| Customer Reviews:
 complete text October 21, 2004
Beat Ackermann
0 out of 2 found this review helpful
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.
 Machine Vision April 30, 2000
11 out of 14 found this review helpful
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.
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