Background
Davies, E. Roy was born on November 29, 1940 in Cardiff, Wales. Son of Arthur Granville and Mary (Scudamore) Davies.
(Signal processing is a major element in electronic engine...)
Signal processing is a major element in electronic engineering. One of its major problems is that signal detection can be rendered extremely difficult by erroneous "noise" swamping a signal's output. This book is concerned with understanding the theory and introducing the techniques for signal recovery and noise removal. The book builds on an understanding of analog electronics and provides the background for work in domains such as radio transmission, image processing and magnetic resonance.
http://www.amazon.com/gp/product/0122061314/?tag=2022091-20
( Computer and Machine Vision: Theory, Algorithms, Practi...)
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.
http://www.amazon.com/gp/product/0123869080/?tag=2022091-20
(The field of machine vision has expanded extensively sinc...)
The field of machine vision has expanded extensively since the First Edition of Machine Vision was published by Academic Press in 1990. As a result, this Second Edition contains significant amounts of new material on artificial neural networks, mathematical morphology, motion, invariance, texture analysis, x-ray inspection, and foreign object detection. Intermediate level vision is examined in depth (especially Hough transforms), and automated visual inspectionis discussed. The author takes care to consider theoretical aspects as well as practical applications, including perspective invariants and robust statistics. Written in a user-friendly style and full of up-to-date methods, Machine Vision, Second Edition will be an essential volume for students and professionals in the field. Key Features * Gives considerable emphasis to robust analysis of images to demonstrate how problems of occlusion, noise, distortion, and variability may be overcome * Introduces Hough transforms as an integral part of the text and shows how they may be applied in a variety of situations * Presents the topic of robust statistics non-mathematically in the context of vision algorithms * Considers the role of neural networks in machine vision * Shows how the concepts of perspective invariance provide basic strategies for 2-D and 3-D vision * Studies image transformations and the prespective n-point problem systematically to clarify how interpretation may proceed in various geometrical situations * Pays special attention to the detection of defects, foreign objects, and real-time implementation hardware in consideration of automated visual inspection
http://www.amazon.com/gp/product/012206092X/?tag=2022091-20
(In the last 40 years, machine vision has evolved into a m...)
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.
http://www.amazon.com/gp/product/0122060938/?tag=2022091-20
researcher computer science educator
Davies, E. Roy was born on November 29, 1940 in Cardiff, Wales. Son of Arthur Granville and Mary (Scudamore) Davies.
Bachelor in Natural Sciences 1st class honours, Oxford (England) University, 1964. Master of Arts, Oxford (England) University, 1967. Doctor of Philosophy, Oxford (England) University, 1967.
Doctor of Science, University London, 1996.
Lecturer Merton College,, University of Oxford, 1969-1970;
lecturer, Royal Holloway, U. London, 1970-1981;
senior lecturer, Royal Holloway, U. London, 1981-1991;
reader machine vision, Royal Holloway, U. London, 1991-1994;
professor, Royal Holloway, U. London, since 1994. Member international reviewing committee for numerous vision-related conferences, since 1990. Member reviewing panel for computer vision and image understanding and numerous other vision-related journals.
Consultant in machine vision.
(In the last 40 years, machine vision has evolved into a m...)
( Computer and Machine Vision: Theory, Algorithms, Practi...)
(The field of machine vision has expanded extensively sinc...)
(Signal processing is a major element in electronic engine...)
Fellow Institute Physics, Royal Society Arts, Manufactures and Commerce, Institution Electrical Engineers (executive committee professional group E4 image processing and vision 1994). Member Institute of Electrical and Electronics Engineers (senior ), British Machine Vision Association (executive committee 1994).
Married Joan Olivia De Sousa, April 2, 1970. Children: Elizabeth, Sarah, Marion.