Integrated Imaging and Vision Techniques for Industrial Inspection

Advances and Applications

  • Zheng Liu
  • Hiroyuki Ukida
  • Pradeep Ramuhalli
  • Kurt Niel

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

Table of contents

  1. Front Matter
    Pages i-x
  2. Zheng Liu, Hiroyuki Ukida, Kurt Niel, Pradeep Ramuhalli
    Pages 1-37
  3. Technology Advances

    1. Front Matter
      Pages 39-39
    2. Clemente Ibarra-Castanedo, Stefano Sfarra, Marc Genest, Xavier Maldague
      Pages 41-58
    3. Reinhold Huber-Mörk, Gustavo Fernández Domínguez, Svorad Štolc, Daniel Soukup, Csaba Beleznai
      Pages 59-99
    4. Jean-Francois Larue, Daniel Brown, Marc Viala
      Pages 141-176
    5. Matteo Munaro, Edmond Wai Yan So, Stefano Tonello, Emanuele Menegatti
      Pages 201-225
  4. Applications and System Integration for Vision-Based Inspection

    1. Front Matter
      Pages 319-319
    2. Christian Eitzinger, Sebastian Zambal, Petra Thanner
      Pages 321-350
    3. Christian Koch, Zhenhua Zhu, Stephanie German Paal, Ioannis Brilakis
      Pages 351-375
    4. Nicola Carlon, Nicolò Boscolo, Stefano Tonello, Emanuele Menegatti
      Pages 377-392
    5. Susan L. Crawford, Michael T. Anderson, Aaron A. Diaz, Michael R. Larche, Matthew S. Prowant, Anthony D. Cinson
      Pages 393-412
    6. Hiroyoshi Togo, Soichi Oka, Yoshihisa Fujii, Yuko Fujiwara
      Pages 413-482
    7. Yiming Deng, Yuhua Cheng, Liang Xuan, Zhiwei Zeng
      Pages 483-536
  5. Back Matter
    Pages 537-541

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

Bridging the gap between theoretical knowledge and engineering practice, this indispensable book will appeal to graduate students interested in imaging, machine vision, and industrial inspection. The work also serves as an excellent reference for researchers seeking to develop innovative solutions to tackle practical challenges, and for professional engineers who will benefit from the coverage of applications at both system and component level.


Automation Sensor Image Processing Industrial Inspection Machine Vision Pattern Recognition System Integration and Optimization

Editors and affiliations

  • Zheng Liu
    • 1
  • Hiroyuki Ukida
    • 2
  • Pradeep Ramuhalli
    • 3
  • Kurt Niel
    • 4
  1. 1.University of British ColumbiaKelownaCanada
  2. 2.University of TokushimaJapan
  3. 3.Pacific Northwest National LaboratoryRichlandUSA
  4. 4.Upper Austria Univ. of Applied SciencesWelsAustria

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London (outside the USA) 2015
  • Publisher Name Springer, London
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-1-4471-6740-2
  • Online ISBN 978-1-4471-6741-9
  • Series Print ISSN 2191-6586
  • Series Online ISSN 2191-6594
  • Buy this book on publisher's site
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