Read more
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.
List of contents
Industrial Inspection with Open Eyes.- Part I: Advances in Technology.- Infrared Vision.- Inspection Methods for Metal Surfaces.- FlexWarp, a Fast and Flexible Method for High-Precision Image Registration.- How Optical CMMs and 3D Scanning will Revolutionize the 3D Metrology World.- Fast Three-Dimensional Shape Inspection Using a Multi-Sided Mirror.- Efficient Completeness Inspection Using Real-Time 3D Color Reconstruction with a Dual-Laser Triangulation System.- X-Ray Computed Tomography for Non-Destructive Testing and Materials Characterization.- Defect Inspection for Curved Surfaces with a Highly Specular Reflection.- Part II: Applications and System Integration for Vision-Based Inspection.- Robotic Inspection Systems.- Machine Vision Techniques for Condition Assessment of Civil Infrastructure.- Smart Check 3D.- Ultrasonic Evaluation and Imaging.- Non-Destructive Visualization Using Electromagnetic Waves for Real and Practical Sensing Technology for Robotics.- Magneto-Optic Imaging and its Applications.
About the author
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.
Summary
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.
