Integrated Imaging and Vision Techniques for Industrial Inspection

Zusatztext

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.

Autorenportrait

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

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