• DocumentCode
    2687284
  • Title

    On scene-adapted illumination techniques for industrial inspection

  • Author

    Gruna, Robin ; Beyerer, Jürgen

  • Author_Institution
    Vision & Fusion Lab., Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
  • fYear
    2010
  • fDate
    3-6 May 2010
  • Firstpage
    498
  • Lastpage
    503
  • Abstract
    In many machine vision applications for automated inspection the illumination design is crucial to the robustness and speed of the inspection process. Hence, there is need to investigate and to experimentally evaluate new illumination designs and techniques. We briefly review a representative selection of illumination techniques that aim to minimize the effort of defect detection by adapting the illuminating light field to the nominal state of the inspection task. Based on this principle we propose an illumination technique using a projector-camera system which provides inspection images that directly display differences in the reflectance between two scenes. A comparison with image differencing for deviation detection shows that the proposed illumination technique is in many cases advantageous from a signal-to-noise point of view.
  • Keywords
    cameras; computer vision; industrial engineering; lighting; automated inspection; deviation detection; image differencing; industrial inspection; inspection images; light field illumination; machine vision applications; projector-camera system; scene-adapted illumination technique; Digital images; Holographic optical components; Inspection; Layout; Lighting; Machine vision; Optical design; Optical polarization; Shape; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC), 2010 IEEE
  • Conference_Location
    Austin, TX
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4244-2832-8
  • Electronic_ISBN
    1091-5281
  • Type

    conf

  • DOI
    10.1109/IMTC.2010.5488093
  • Filename
    5488093