• DocumentCode
    1504673
  • Title

    Specular surface inspection using structured highlight and Gaussian images

  • Author

    Nayar, Shree K. ; Sanderson, Arthur C. ; Weiss, L.E. ; Simon, David A.

  • Author_Institution
    Robotics Inst., Carnegie-Mellon Univ., Pittsburgh, PA, USA
  • Volume
    6
  • Issue
    2
  • fYear
    1990
  • fDate
    4/1/1990 12:00:00 AM
  • Firstpage
    208
  • Lastpage
    218
  • Abstract
    The structured highlight inspection method uses an array of point sources to illuminate a specular object surface. The point sources are scanned, and highlights on the object surface resulting from each source are used to derive local surface orientation information. The extended Gaussian image (EGI) is obtained by placing at each point on a Gaussian sphere a mass proportional to the area of elements on the object surface that have a specific orientation. The EGI summarizes shape properties of the object surface and can be efficiently calculated from structured highlight data without surface reconstruction. Features of the estimated EGI including areas, moments, principal axes, homogeneity measures, and polygonality can be used as the basis for classification and inspection. The structured highlight inspection system (SHINY) has been implemented using a hemisphere of 127 point sources. The SHINY system uses a binary coding scheme to make the scanning of point sources efficient. Experiments have used the SHINY system and EGI features for the inspection and classification of surface-mounted-solder joints
  • Keywords
    computer vision; computerised pattern recognition; encoding; inspection; Gaussian images; SHINY; binary coding; homogeneity; inspection; point sources; polygonality; structured highlight; surface-mounted-solder joints; Area measurement; Cameras; Feature extraction; Image reconstruction; Inspection; Optical reflection; Robots; Shape measurement; Soldering; Surface reconstruction;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.54736
  • Filename
    54736