Integrated Imaging and Vision Techniques for Industrial Inspection

Lieferzeit: Lieferbar innerhalb 14 Tagen

106,99 

Advances and Applications, Advances in Computer Vision and Pattern Recognition

ISBN: 1447169808
ISBN 13: 9781447169802
Herausgeber: Zheng Liu/Hiroyuki Ukida/Pradeep Ramuhalli et al
Verlag: Springer Verlag GmbH
Umfang: x, 541 S., 394 s/w Illustr., 13 farbige Illustr., 541 p. 407 illus., 13 illus. in color.
Erscheinungsdatum: 23.08.2016
Auflage: 1/2015
Produktform: Kartoniert
Einband: Kartoniert

This pioneering text/reference presents a detailed focus on the use of machine vision techniques in industrial inspection applications. An internationally renowned selection of experts provide insights on a range of inspection tasks, drawn from their cutting-edge work in academia and industry, covering practical issues of vision system integration for real-world applications. Topics and features:  – Presents a comprehensive review of state-of-the-art hardware and software tools for machine vision, and the evolution of algorithms for industrial inspection Includes indepth descriptions of advanced inspection methodologies and machine vision technologies for specific needs Discusses the latest developments and future trends in imaging and vision techniques for industrial inspection tasks Provides a focus on imaging and vision system integration, implementation, and optimization Describes the pitfalls and barriers to developing successful inspection systems for smooth and efficient manufacturing process Bridging the gap between theoretical knowledge and engineering practice, this indispensable book will appeal to graduate students interested in imaging, machine vision, and industrial inspection. The work also serves as an excellent reference for researchers seeking to develop innovative solutions to tackle practical challenges, and for professional engineers who will benefit from the coverage of applications at both system and component level.

Artikelnummer: 2875935 Kategorie:

Beschreibung

This pioneering text/reference presents a detailed focus on the use of machine vision techniques in industrial inspection applications. An internationally renowned selection of experts provide insights on a range of inspection tasks, drawn from their cutting-edge work in academia and industry, covering practical issues of vision system integration for real-world applications. Topics and features: presents a comprehensive review of state-of-the-art hardware and software tools for machine vision, and the evolution of algorithms for industrial inspection; includes in-depth descriptions of advanced inspection methodologies and machine vision technologies for specific needs; discusses the latest developments and future trends in imaging and vision techniques for industrial inspection tasks; provides a focus on imaging and vision system integration, implementation, and optimization; describes the pitfalls and barriers to developing successful inspection systems for smooth and efficient manufacturing process.

Autorenporträt

Dr. Zheng Liu is an Associate Professor at the University of British Columbia, Kelowna, BC, Canada. Dr. Hiroyuki Ukida is an Associate Professor in the Institute of Technology and Science at the University of Tokushima, Japan. Dr. Pradeep Ramuhalli is a Senior Research Scientist at the Pacific Northwest National Laboratory, Richland, WA, USA. Dipl.-Ing. Kurt Niel is the Head of the Department of Metrology and Control Engineering at the University of Applied Sciences Upper Austria, Wels, Austria.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …