| Machine Vision, Third Edition: Theory, Algorithms, Practicalities (Signal Processing and its Applications) |  | Author: E. R. Davies
Publisher: Morgan Kaufmann
Category: Book
List Price: $105.00
Buy New: $53.85
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You Save: $51.15 (49%)
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Seller: Textbook_TBS
Sales Rank: 242,032
Languages: English (Unknown), English (Original Language), English (Published)
Media: Hardcover
Edition: 3
Pages: 934
Number Of Items: 1
Shipping Weight (lbs): 4.6
Dimensions (in): 9.6 x 7.6 x 2.3
ISBN: 0122060938
EAN: 9780122060939
ASIN: 0122060938
Publication Date: January 5, 2005
Availability: Usually ships in 1-2 business days
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Product Description
In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own algorithms and systems. This book directly addresses this need.
As in earlier editions, E.R. Davies clearly and systematically presents the basic concepts of the field in highly accessible prose and images, covering essential elements of the theory while emphasizing algorithmic and practical design constraints. In this thoroughly updated edition, he divides the material into horizontal levels of a complete machine vision system. Application case studies demonstrate specific techniques and illustrate key constraints for designing real-world machine vision systems.
· Includes solid, accessible coverage of 2-D and 3-D scene analysis.
· Offers thorough treatment of the Hough Transform-a key technique for inspection and surveillance.
· Brings vital topics and techniques together in an integrated system design approach.
· Takes full account of the requirement for real-time processing in real applications.
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