Computer and Machine Vision: Theory, Algorithms, Practicalities
(previously entitled Machine Vision) clearly and systematically
presents the basic methodology of computer and machine vision,
covering the essential elements of the theory while emphasizing
algorithmic and practical design constraints. This fully revised
fourth edition has brought in more of the concepts and applications
of computer vision, making it a very comprehensive and up-to-date
tutorial text suitable for graduate students, researchers and
R&D engineers working in this vibrant subject.
Key features include:
Practical examples and case studies give the ins and outs of
developing real-world vision systems, giving engineers the
realities of implementing the principles in practice.
New chapters containing case studies on surveillance and driver
assistance systems give practical methods on these cutting-edge
applications in computer vision.
Necessary mathematics and essential theory are made approachable
by careful explanations and well-illustrated examples.
Updated content and new sections cover topics such as human iris
location, image stitching, line detection using RANSAC, performance
measures, and hyperspectral imaging.
The recent developments section now included in each chapter
will be useful in bringing students and practitioners up to date
with the subject.
Roy Davies is Emeritus Professor of Machine Vision at Royal
Holloway, University of London. He has worked on many aspects of
vision, from feature detection to robust, real-time implementations
of practical vision tasks. His interests include automated visual
inspection, surveillance, vehicle guidance and crime detection. He
has published more than 200 papers, and three books - Machine
Vision: Theory, Algorithms, Practicalities (1990), Electronics,
Noise and Signal Recovery (1993), and Image Processing for the Food
Industry (2000); the first of these has been widely used
internationally for more than 20 years, and is now out in this much
enhanced fourth edition. Roy holds a DSc at the University of
London, and has been awarded Distinguished Fellow of the British
Machine Vision Association, and Fellow of the International
Association of Pattern Recognition.
Mathematics and essential theory are made approachable by
careful explanations and well-illustrated examples.Updated content
and new sections cover topics such as human iris location, image
stitching, line detection using RANSAC, performance measures, and
hyperspectral imaging.The recent developments section now included
in each chapter will be useful in bringing students and
practitioners up to date with the subject."
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