• DocumentCode
    3206624
  • Title

    Controlling illumination color to enhance object discriminability

  • Author

    Vriesenga, Mark ; Healey, Glenn ; Peleg, Kalman ; Sklansky, Jack

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
  • fYear
    1992
  • fDate
    15-18 Jun 1992
  • Firstpage
    710
  • Lastpage
    712
  • Abstract
    The authors describe how to design color illumination to improve the discriminability of objects in color images. This procedure is useful in applications where the illumination can be controlled, such as inspection tasks. From the physics of color image formation, the optimal color illumination for discriminating materials is derived using a parametrically defined set of illuminants. The authors suggest how such an approach might be extended to sets of materials and more general classes of light sources. Experiments with painted color patches and live potato plantlets are used to illustrate the usefulness of actively controlling illumination color in machine vision
  • Keywords
    colour; computer vision; lighting; color illumination; color image formation; illumination color; illumination control; inspection tasks; light sources; live potato plantlets; machine vision; material discrimination; object discriminability; painted color patches; Cameras; Color; Control systems; Image processing; Inspection; Kalman filters; Layout; Lighting; Machine vision; Reflectivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
  • Conference_Location
    Champaign, IL
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2855-3
  • Type

    conf

  • DOI
    10.1109/CVPR.1992.223194
  • Filename
    223194