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.
"synopsis" may belong to another edition of this title.
Thoroughly updated solid text reference for an increasingly important fieldAbout 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.
"About this title" may belong to another edition of this title.
Book Description Paperback. Book Condition: New. New Softcover International Edition, Printed in Black and White, Only USPS Media mail Shipping ONLY, Different ISBN, Same Content As US edition, Book Cover may be Different, in English Language. Bookseller Inventory # 909
Book Description Morgan Kaufmann 2005-01-05, 2005. Hardcover. Book Condition: New. 3. 0122060938. Bookseller Inventory # 642697
Book Description Book Condition: Brand New. Book Condition: Brand New. Bookseller Inventory # 97801220609391.0
Book Description Morgan Kaufmann, 2005. Hardcover. Book Condition: New. 3. Bookseller Inventory # DADAX0122060938
Book Description Morgan Kaufmann, 2005. Hardcover. Book Condition: New. Bookseller Inventory # P110122060938