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Integrated Imaging and Vision Techniques for Industrial Inspection

Advances and Applications

  • Book
  • © 2015

Overview

Editors:
  1. Zheng Liu

    1. University of British Columbia, Kelowna, Canada

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  2. Hiroyuki Ukida

    1. University of Tokushima, Tokushima, Japan

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  3. Pradeep Ramuhalli

    1. Pacific Northwest National Laboratory, Richland, USA

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  4. Kurt Niel

    1. University of Applied Sciences Upper Austria, Wels, Austria

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  • Presents the latest technologies and solutions for industrial inspection
  • Covers both theoretical advances and current engineering practices
  • Includes case studies that illustrate applications of the techniques to real problems
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-x
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  2. Industrial Inspection with Open Eyes: Advance with Machine Vision Technology

    • Zheng Liu, Hiroyuki Ukida, Kurt Niel, Pradeep Ramuhalli
    Pages 1-37

  3. Technology Advances

    1. Front Matter

      Pages 39-39
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    2. Infrared Vision: Visual Inspection Beyond the Visible Spectrum

      • Clemente Ibarra-Castanedo, Stefano Sfarra, Marc Genest, Xavier Maldague
      Pages 41-58

    3. Inspection Methods for Metal Surfaces: Image Acquisition and Algorithms for the Characterization of Defects

      • Reinhold Huber-Mörk, Gustavo Fernández Domínguez, Svorad Å tolc, Daniel Soukup, Csaba Beleznai
      Pages 59-99

    4. FlexWarp, a Fast and Flexible Method for High-Precision Image Registration: A Nonparametric Approach for Precise Image Registration Applied to Industrial Print Inspection

      • Harald Penz, Franz Daubner, Ernst Bodenstorfer, Reinhold Huber-Mörk
      Pages 101-139

    5. How Optical CMMs and 3D Scanning Will Revolutionize the 3D Metrology World

      • Jean-Francois Larue, Daniel Brown, Marc Viala
      Pages 141-176

    6. Fast Three-Dimensional Shape Inspection Using a Multi-sided Mirror

      • Idaku Ishii
      Pages 177-199

    7. Efficient Completeness Inspection Using Real-Time 3D Color Reconstruction with a Dual-Laser Triangulation System

      • Matteo Munaro, Edmond Wai Yan So, Stefano Tonello, Emanuele Menegatti
      Pages 201-225

    8. X-ray Computed Tomography for Non-destructive Testing and Materials Characterization

      • Johann Kastner, Christoph Heinzl
      Pages 227-250

    9. Defect Inspection for Curved Surface with Highly Specular Reflection

      • Zhong Zhang, Changjiang Li
      Pages 251-317

  4. Applications and System Integration for Vision-Based Inspection

    1. Front Matter

      Pages 319-319
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    2. Robotic Inspection Systems

      • Christian Eitzinger, Sebastian Zambal, Petra Thanner
      Pages 321-350

    3. Machine Vision Techniques for Condition Assessment of Civil Infrastructure

      • Christian Koch, Zhenhua Zhu, Stephanie German Paal, Ioannis Brilakis
      Pages 351-375

    4. Smart Check 3D: An Industrial Inspection System Combining 3D Vision with Automatic Planning of Inspection Viewpoints

      • Nicola Carlon, Nicolò Boscolo, Stefano Tonello, Emanuele Menegatti
      Pages 377-392

    5. Ultrasonic Evaluation and Imaging

      • Susan L. Crawford, Michael T. Anderson, Aaron A. Diaz, Michael R. Larche, Matthew S. Prowant, Anthony D. Cinson
      Pages 393-412

    6. Nondestructive Visualization Using Electromagnetic Waves for Real and Practical Sensing Technology for Robotics

      • Hiroyoshi Togo, Soichi Oka, Yoshihisa Fujii, Yuko Fujiwara
      Pages 413-482

    7. Principles of Magneto-optic Imaging and Its Applications

      • Yiming Deng, Yuhua Cheng, Liang Xuan, Zhiwei Zeng
      Pages 483-536

  5. Back Matter

    Pages 537-541
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Keywords

About this book

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.

Editors and Affiliations

  • University of British Columbia, Kelowna, Canada

    Zheng Liu

  • University of Tokushima, Tokushima, Japan

    Hiroyuki Ukida

  • Pacific Northwest National Laboratory, Richland, USA

    Pradeep Ramuhalli

  • University of Applied Sciences Upper Austria, Wels, Austria

    Kurt Niel

About the editors

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.

Bibliographic Information

  • Book Title: Integrated Imaging and Vision Techniques for Industrial Inspection

  • Book Subtitle: Advances and Applications

  • Editors: Zheng Liu, Hiroyuki Ukida, Pradeep Ramuhalli, Kurt Niel

  • Series Title: Advances in Computer Vision and Pattern Recognition

  • DOI: https://doi.org/10.1007/978-1-4471-6741-9

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag London (outside the USA) 2015

  • Hardcover ISBN: 978-1-4471-6740-2Published: 05 October 2015

  • Softcover ISBN: 978-1-4471-6980-2Published: 23 August 2016

  • eBook ISBN: 978-1-4471-6741-9Published: 24 September 2015

  • Series ISSN: 2191-6586

  • Series E-ISSN: 2191-6594

  • Edition Number: 1

  • Number of Pages: X, 541

  • Number of Illustrations: 394 b/w illustrations, 13 illustrations in colour

  • Topics: Image Processing and Computer Vision, Pattern Recognition

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