Machine Vision: Theory, Algorithms, Practicalities

Machine Vision: Theory, Algorithms, Practicalities By E. R. Davies
Publisher: Morgan Kaufmann 2005 | 934 Pages | ISBN: 0122060938 | File type: PDF | 50 mb

"This book brings together the analytic aspects of image processing with the practicalities of applying the techniques in an industrial setting. It is excellent grounding for a machine vision researcher."
- John Billingsley, University of Southern Queensland

"The book in its previous incarnations has established its place as a unique repository of detailed analysis of important image processing and computer vision algorithms. This edition builds on these strengths and adds material to guide the reader's understanding of the latest developments in the field. The result is a comprehensive up-to-date reference text."
- Farzin Deravi, University of Kent

"This book is an essential reference for anyone developing techniques for machine vision analysis, including systems for industrial inspection, biomedical analysis, and much more. It comes from a long-term practitioner and is packed with the fundamental techniques required to build and prototype methods to test their applicability to the problem at hand."
- Majid Mirmehdi, University of Bristol

"The book contains a large number of experimental design and evaluation procedures that are of keen interest to industrial application engineers of machine vision."
- William Wee, University of Cincinnati

"Author E.R. Davies covers essential elements of the theory while addressing algorithmic and practical design constraints. In this updated edition, he divides the material into horizontal levels of a complete machine vision system. He includes coverage of 2-D and 3-D scene analysis, along with the Hough Transform, a key technique for inspection and surveillance."
- Mechanical Engineering, August 2006

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