Integrated Imaging and Vision Techniques for Industrial Inspection
Advances and Applications
(Springer, 2015)
EME 1153
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.
(Description Source: Springer)
Author
Zheng Liu is a professor of Civil, Electrical, and Manufacturing engineering at the University of British Columbia (Okanagan). He received his doctorate in engineering from Kyoto University (Kyoto, Japan) in 2000 and earned a second Ph.D. from the University of Ottawa in 2007. From 2000 to 2001, he was a research fellow with the Nanyang Technological University (Singapore). He then joined the National Research Council (NRC) of Canada (Ottawa, Ontario) as a Governmental Laboratory Visiting Fellow nominated by NSERC in 2001. From 2002, he became a Research Officer associated with two research institutes of NRC (Aerospace Research [IAR] & Research in Construction [IRC]). From 2012 to 2015, Dr. Liu worked as a full professor for Toyota Technological Institute at Nagoya, Japan. In August 2015, Dr. Liu joined the University of British Columbia (Okanagan campus) at Kelowna, BC, Canada. His research interests include condition-based maintenance, condition assessment, non-destructive inspection & evaluation, prognostic health management (PHM), data/information fusion, computer/machine vision, pattern recognition, machine learning, and sensor/sensor network. Dr. Liu is a senior member of IEEE and SPIE. He served as the vice president for publication at the IEEE Instrumentation and Measurement Society (2016-2017) and is co-chairing the IEEE IMS TC-1. He holds professional engineer licenses in both Ontario and British Columbia. Dr. Liu also serves on the editorial boards for a number of peer-reviewed journals.
UBC Library Holdings
http://tinyurl.com/y3vzg9gb
How to Purchase this Book
From the Publisher – Springer
From Used-book Sellers – ABE, Amazon, Antiqbook, Biblio, Vialibri
Hardcover ISBN: 9781447167402
Paperback ISBN: 9781447169802
eBook ISBN: 9781447167419
UBC Okanagan Classroom Artwork Project
The University of British Columbia Okanagan Classroom Artwork Project aims to display academically inspiring artwork in classrooms and other teaching areas of the university.
Artwork displayed as part of this project – including the covers of books and journals containing work written or edited by UBCO scholars and researchers – is intended to help enliven university teaching spaces, educate classroom users about the connections between research and teaching, and introduce members of the broader public to some of the research and scholarship carried out at UBCO.
How to Submit Artwork
If you know of other book or journal covers, or other academically inspiring artwork that is connected to work carried out by UBCO artists, scholars or researchers and that is consistent with UBCO’s educational mission, please email your suggestions to classroom.artwork@ubc.ca.
The UBC Okanagan Classroom Artwork Project began in 2019 with support from the Irving K. Barber School of Arts and Sciences. It is now a joint project of UBCO’s Faculties and the Office of the Provost.
Artwork and other images that are a part of this project are displayed solely for educational purposes.