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Integrated Imaging and Vision Techniques for Industrial Inspection (Springer, 2015)<\/span> 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.<\/p>\n (Description Source: Springer<\/a>) Zheng Liu<\/b> 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\u00a0<\/span>Nanyang Technological University<\/a>\u00a0<\/span>(Singapore). He then joined the\u00a0<\/span>National Research Council<\/a>\u00a0<\/span>(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\u00a0<\/span>Toyota Technological Institute<\/a>\u00a0<\/span>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.<\/p>\n http:\/\/tinyurl.com\/y3vzg9gb<\/p>\n From the Publisher – Springer<\/a><\/span> Hardcover ISBN: 9781447167402 The University of British Columbia Okanagan Classroom Artwork Project<\/em> aims to display academically inspiring artwork in classrooms and other teaching areas of the university.<\/span><\/p>\n Artwork displayed as part of this project \u2013 including the covers of books and journals containing work written or edited by UBCO scholars and researchers \u2013 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.<\/span><\/p>\n
\n<\/em><\/strong>Advances and Applications<\/em><\/p>\n
\nEME 1153<\/span><\/p>\n
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\nAuthor<\/em><\/span><\/p>\n
\nUBC Library Holdings<\/em><\/span><\/p>\n
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\nFrom Used-book Sellers – ABE<\/a>, Amazon<\/a>, Antiqbook<\/a>, Biblio<\/a>, Vialibri<\/a><\/span><\/p>\n
\nPaperback ISBN:\u00a0<\/span>9781447169802
\neBook ISBN:\u00a0<\/span>9781447167419<\/p>\n
\nUBC Okanagan Classroom Artwork Project <\/em><\/span><\/p>\n
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