Machine Vision: Theory, Algorithms, Practicalities (Signal Processing and its Applications)
| Author | : | |
| Rating | : | 4.30 (549 Votes) |
| Asin | : | B008B5Q79O |
| Format Type | : | |
| Number of Pages | : | 167 Pages |
| Publish Date | : | 2013-08-06 |
| Language | : | English |
DESCRIPTION:
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.. 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. In this thoroughly updated edition, he divides the material into horizontal levels of a complete machine vision system. 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. 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
“This book brings together the analytic aspects of image processing with the practicalities of applying the techniques in an industrial setting. This edition builds on these strengths and adds material to guide the reader’s understanding of the latest developments in the field. Davies covers essential elements of the theory while addressing algorithmic and practical design constraints. William Wee, University of Cincinnati“Author E.R. John Billingsley, University of Southern Queensland“The book in its previous incarnations has established its place as a unique repository of
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