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Computer vision --- Vision par ordinateur --- Computer vision.
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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: <
Computer vision. --- Computer vision -- Congresses. --- Information visualization. --- Computer vision --- Information visualization --- Engineering & Applied Sciences --- Applied Physics --- Data visualization --- Visualization of information --- Machine vision --- Vision, Computer --- Information science --- Visual analytics --- Artificial intelligence --- Image processing --- Pattern recognition systems
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Computer vision. --- Information visualization. --- Data visualization --- Visualization of information --- Information science --- Visual analytics --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems
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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
Computer vision --- Computer algorithms --- Computer vision. --- Computer algorithms. --- Algorithms --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Beeldverwerking.
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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
Food industry and trade --- Food adulteration and inspection --- Image processing --- Imaging systems --- Radiography, Industrial. --- Food processing plants --- Industrial radiography --- Materials --- Radiographic examination of materials --- Radiology, Industrial --- Gamma rays --- Nondestructive testing --- Radioisotopes --- X-rays --- Pictorial data processing --- Picture processing --- Processing, Image --- Optical data processing --- Analysis of food --- Food --- Food, Pure --- Food inspection --- Inspection of food --- Pure food --- Adulterations --- Consumer protection --- Public health --- Sanitary chemistry --- Radar --- Remote sensing --- Television --- Scanning systems --- Quality control. --- Equipment and supplies. --- Methodology. --- Design and construction. --- Radiography --- Industrial applications --- Adulteration --- Inspection --- Equipment and supplies
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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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People with mental disabilities --- People with mental disabilities --- People with mental disabilities --- Care --- Rehabilitation --- Services for
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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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"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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