• DocumentCode
    1922028
  • Title

    A lighting characterisation by a reliable method. Application to defect detection by artificial vision in industrial field

  • Author

    Geveaux, P. ; Miteran, Johel ; Kohler, S. ; Truchetet, F. ; Renier, E.

  • Author_Institution
    Bourgogne Univ., Le Creusot, France
  • Volume
    3
  • fYear
    1998
  • fDate
    31 Aug-4 Sep 1998
  • Firstpage
    1242
  • Abstract
    This paper presents a reliable method which allows comparison of several lighting systems with respect to their capabilities of bringing out defects. This study has been led on textured industrial parts on which four types of defect have to be detected: smooth surfaces, bumps, lack of material and hollows knocked surfaces. The aim is to determine the best lighting among various experimental sets. This method has two stages: the first one is a definition of a pertinent attribute vector for which components are defect sensitive; in the second, discrimination power of this vector is computed and compared under various illumination. This method ensures a well-suited illumination in numerous applications in defects detection
  • Keywords
    automatic optical inspection; computer vision; fault location; lighting; quality control; artificial vision; attribute vector; bumps; defect detection; hollows knocked surfaces; industrial field; lack of material; lighting characterisation; lighting systems; quality control; smooth surfaces; textured industrial parts; vector discrimination power; Cameras; Electrical equipment industry; Industrial control; Kernel; Laboratories; Lighting; Quality control; Scholarships; Surface texture; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 1998. IECON '98. Proceedings of the 24th Annual Conference of the IEEE
  • Conference_Location
    Aachen
  • Print_ISBN
    0-7803-4503-7
  • Type

    conf

  • DOI
    10.1109/IECON.1998.722826
  • Filename
    722826