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Machine vision : theory, algorithms, practicalities
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ISBN: 0122060903 1322477604 1483275612 Year: 1990 Volume: 9 Publisher: London Academic press

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Computer vision
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ISBN: 1283734982 0123869919 0123869080 012809575X 9780123869913 9780123869081 9780128095751 9780128092842 012809284X 0123869913 Year: 2018 Publisher: London

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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: <


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Computer Vision : Principles, Algorithms, Applications, Learning.
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ISBN: 012809284X Year: 2017 Publisher: San Diego : Elsevier Science & Technology,

Machine vision : theory, algorithms, practicalities
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ISBN: 0122060938 9786611227258 1281227250 0080473245 9780080473246 9780122060939 Year: 2005 Publisher: Amsterdam ; Oxford : Morgan Kaufmann,

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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 directl

Image processing for the food industry
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ISBN: 9812797637 9789812797636 9810240228 9789810240226 Year: 2000 Publisher: Singapore River Edge, NJ World Scientific

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This monograph provides detailed background on the image processing problems encountered in the food industry when automatic control and inspection systems are being designed and installed. It starts with a careful study of image processing and machine vision methodology, and then goes on to analyse how this can be applied in the main areas of food processing and production. A case study approach is used to give relevance to the work, making the book user-friendly.This book will help the food industry to observe 'due diligence', and researchers to be more aware of the problems of analysing ima


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Computer and machine vision
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ISBN: 9780123869913 0123869919 9780123869081 0123869080 012809575X 1283734982 Year: 2012 Publisher: Waltham, Mass. Elsevier

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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: <


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New prospects for the retarded citizens
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ISBN: 0855370319 Year: 1975 Publisher: London : National society for mentally handicapped children,

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Computer vision : principles, algorithms, applications, learning
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ISBN: 9780128095751 012809575X Year: 2018 Publisher: London Academic Press

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Machine vision : theory, algorithms, practicalities
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ISBN: 9780080473246 0080473245 9780122060939 0122060938 Year: 2005 Publisher: Boston Elsevier

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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 Transforma 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.

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Digital
Computer and machine vision : theory, algorithms, practicalities
Author:
ISBN: 9780123869913 0123869919 Year: 2012 Publisher: Waltham, Mass Elsevier

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"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."--Publisher's description.

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