Machine Vision for the Inspection of Natural Products
Machine Vision for the Inspection of Natural Products

Author: Mark Graves

Publisher: Springer Science & Business Media

Published: 2006-05-18

Total Pages: 472

ISBN-13: 1852338539

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Machine vision technology has revolutionised the process of automated inspection in manufacturing. The specialist techniques required for inspection of natural products, such as food, leather, textiles and stone is still a challenging area of research. Topological variations make image processing algorithm development, system integration and mechanical handling issues much more complex. The practical issues of making machine vision systems operate robustly in often hostile environments together with the latest technological advancements are reviewed in this volume. Features: - Case studies based on real-world problems to demonstrate the practical application of machine vision systems. - In-depth description of system components including image processing, illumination, real-time hardware, mechanical handling, sensing and on-line testing. - Systems-level integration of constituent technologies for bespoke applications across a variety of industries. - A diverse range of example applications that a system may be required to handle from live fish to ceramic tiles. Machine Vision for the Inspection of Natural Products will be a valuable resource for researchers developing innovative machine vision systems in collaboration with food technology, textile and agriculture sectors. It will also appeal to practising engineers and managers in industries where the application of machine vision can enhance product safety and process efficiency.

Machine Vision for the Inspection of Natural Products
Machine Vision for the Inspection of Natural Products

Author: Mark Graves

Publisher: Springer Science & Business Media

Published: 2003-11-20

Total Pages: 472

ISBN-13: 1852335254

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Machine vision technology has revolutionised the process of automated inspection in manufacturing. The specialist techniques required for inspection of natural products, such as food, leather, textiles and stone is still a challenging area of research. Topological variations make image processing algorithm development, system integration and mechanical handling issues much more complex. The practical issues of making machine vision systems operate robustly in often hostile environments together with the latest technological advancements are reviewed in this volume. Features: - Case studies based on real-world problems to demonstrate the practical application of machine vision systems. - In-depth description of system components including image processing, illumination, real-time hardware, mechanical handling, sensing and on-line testing. - Systems-level integration of constituent technologies for bespoke applications across a variety of industries. - A diverse range of example applications that a system may be required to handle from live fish to ceramic tiles. Machine Vision for the Inspection of Natural Products will be a valuable resource for researchers developing innovative machine vision systems in collaboration with food technology, textile and agriculture sectors. It will also appeal to practising engineers and managers in industries where the application of machine vision can enhance product safety and process efficiency.

Machine Vision for the Inspection of Natural Products
Machine Vision for the Inspection of Natural Products

Author: Mark Graves

Publisher: Springer

Published: 2013-10-03

Total Pages: 471

ISBN-13: 9781447139188

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Machine vision technology has revolutionised the process of automated inspection in manufacturing. The specialist techniques required for inspection of natural products, such as food, leather, textiles and stone is still a challenging area of research. Topological variations make image processing algorithm development, system integration and mechanical handling issues much more complex. The practical issues of making machine vision systems operate robustly in often hostile environments together with the latest technological advancements are reviewed in this volume. Features: - Case studies based on real-world problems to demonstrate the practical application of machine vision systems. - In-depth description of system components including image processing, illumination, real-time hardware, mechanical handling, sensing and on-line testing. - Systems-level integration of constituent technologies for bespoke applications across a variety of industries. - A diverse range of example applications that a system may be required to handle from live fish to ceramic tiles. Machine Vision for the Inspection of Natural Products will be a valuable resource for researchers developing innovative machine vision systems in collaboration with food technology, textile and agriculture sectors. It will also appeal to practising engineers and managers in industries where the application of machine vision can enhance product safety and process efficiency.

4th European Conference of the International Federation for Medical and Biological Engineering 23 - 27 November 2008, Antwerp, Belgium
4th European Conference of the International Federation for Medical and Biological Engineering 23 - 27 November 2008, Antwerp, Belgium

Author: Jos van der Sloten

Publisher: Springer Science & Business Media

Published: 2009-02-04

Total Pages: 2944

ISBN-13: 3540892087

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The 4th European Congress of the International Federation for Medical and Biological Federation was held in Antwerp, November 2008. The scientific discussion on the conference and in this conference proceedings include the following issues: Signal & Image Processing ICT Clinical Engineering and Applications Biomechanics and Fluid Biomechanics Biomaterials and Tissue Repair Innovations and Nanotechnology Modeling and Simulation Education and Professional

Machine Vision Handbook
Machine Vision Handbook

Author: Bruce G. Batchelor

Publisher: Springer

Published: 2012-02-14

Total Pages: 0

ISBN-13: 9781849961684

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The automation of visual inspection is becoming more and more important in modern industry as a consistent, reliable means of judging the quality of raw materials and manufactured goods . The Machine Vision Handbook equips the reader with the practical details required to engineer integrated mechanical-optical-electronic-software systems. Machine vision is first set in the context of basic information on light, natural vision, colour sensing and optics. The physical apparatus required for mechanized image capture – lenses, cameras, scanners and light sources – are discussed followed by detailed treatment of various image-processing methods including an introduction to the QT image processing system. QT is unique to this book, and provides an example of a practical machine vision system along with extensive libraries of useful commands, functions and images which can be implemented by the reader. The main text of the book is completed by studies of a wide variety of applications of machine vision in inspecting and handling different types of object.

Computer Vision for X-Ray Testing
Computer Vision for X-Ray Testing

Author: Domingo Mery

Publisher: Springer Nature

Published: 2020-12-21

Total Pages: 473

ISBN-13: 3030567699

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[FIRST EDITION] This accessible textbook presents an introduction to computer vision algorithms for industrially-relevant applications of X-ray testing. Features: introduces the mathematical background for monocular and multiple view geometry; describes the main techniques for image processing used in X-ray testing; presents a range of different representations for X-ray images, explaining how these enable new features to be extracted from the original image; examines a range of known X-ray image classifiers and classification strategies; discusses some basic concepts for the simulation of X-ray images and presents simple geometric and imaging models that can be used in the simulation; reviews a variety of applications for X-ray testing, from industrial inspection and baggage screening to the quality control of natural products; provides supporting material at an associated website, including a database of X-ray images and a Matlab toolbox for use with the book’s many examples.

Machine Vision
Machine Vision

Author: E. R. Davies

Publisher: Elsevier

Published: 2004-12-22

Total Pages: 973

ISBN-13: 0080473245

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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 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.

Handbook of Poultry Science and Technology, Secondary Processing
Handbook of Poultry Science and Technology, Secondary Processing

Author: Isabel Guerrero-Legarreta

Publisher: John Wiley and Sons

Published: 2010-03-30

Total Pages: 632

ISBN-13: 0470504463

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A comprehensive reference for the poultry industry—Volume 2 describes poultry processing from raw meat to final retail products With an unparalleled level of coverage, the Handbook of Poultry Science and Technology provides an up-to-date and comprehensive reference on poultry processing. Volume 2: Secondary Processing covers processing poultry from raw meat to uncooked, cooked or semi-cooked retail products. It includes the scientific, technical, and engineering principles of poultry processing, methods and product categories, product manufacturing and attributes, and sanitation and safety. Volume 2: Secondary Processing is divided into seven parts: Secondary processing of poultry products—an overview Methods in processing poultry products—includes emulsions and gelations; breading and battering; mechanical deboning; marination, cooking, and curing; and non-meat ingredients Product manufacturing—includes canned poultry meat, turkey bacon and sausage, breaded product (nuggets), paste product (pâté), poultry ham, luncheon meat, processed functional egg products, and special dietary products for the elderly, the ill, children, and infants Product quality and sensory attributes—includes texture and tenderness, protein and poultry meat quality, flavors, color, handling refrigerated poultry, and more Engineering principles, operations, and equipment—includes processing equipment, thermal processing, packaging, and more Contaminants, pathogens, analysis, and quality assurance—includes microbial ecology and spoilage in poultry and poultry products; campylobacter; microbiology of ready-to-eat poultry products; and chemical and microbial analysis Safety systems in the United States—includes U.S. sanitation requirements, HACCP, U.S. enforcement tools and mechanisms

Growing Business Innovation
Growing Business Innovation

Author: Jonathan Reuvid

Publisher: Legend Press

Published: 2019-11-01

Total Pages: 236

ISBN-13: 1789550270

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Innovation is fundamental to business, which in turn contributes to economies and societies moving forward. Traditionally it means ‘a new idea, device, technique or method’ but increasingly it now refers to ideas that provide better solutions, meet the needs or even provide the answers to something not yet a problem.Growing Business Innovation addresses areas such as collaboration, challenges for large and small organisations, measuring innovation and getting a return on your investment. It provides answers to questions such as:•How do innovation and AI interact•Can the innovation gap between corporates and SMEs be filled?•What are the options for brand protection and dispute resolution?•How can you claim R&D tax credits?•How can business growth be achieved through industry-academia interactions?•What is the impact of GDPR on IP work?•How can you manage IP in your start-up business?•How can business growth be achieved industry-academia interactions?No matter what stage, innovation needs nurturing and this book will act as an invaluable guide with support and advice from authors who are themselves innovators.

Computer Vision Technology for Food Quality Evaluation
Computer Vision Technology for Food Quality Evaluation

Author: Da-Wen Sun

Publisher: Elsevier

Published: 2011-04-28

Total Pages: 600

ISBN-13: 0080556248

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The first book in this rapidly expanding area, Computer Vision Technology for Food Quality Evaluation thoroughly discusses the latest advances in image processing and analysis. Computer vision has attracted much research and development attention in recent years and, as a result, significant scientific and technological advances have been made in quality inspection, classification and evaluation of a wide range of food and agricultural products. This unique work provides engineers and technologists working in research, development, and operations in the food industry with critical, comprehensive and readily accessible information on the art and science of computer vision technology. Undergraduate and postgraduate students and researchers in universities and research institutions will also find this an essential reference source.· Discusses novel technology for recognizing objects and extracting quantitative information from digital images in order to provide objective, rapid, non-contact and non-destructive quality evaluation. · International authors with both academic and professional credentials address in detail one aspect of the relevant technology per chapter making this ideal for textbook use· Divided into three parts, it begins with an outline of the fundamentals of the technology, followed by full coverage of the application in the most researched areas of meats and other foods, fruits, vegetables and grains.