• DocumentCode
    1721614
  • Title

    Automatic Detection of Pre-ocular Tear Film Break-Up Sequence in Dry Eyes

  • Author

    Yedidya, Tamir ; Hartley, Richard ; Guillon, Jean-Pierre

  • fYear
    2008
  • Firstpage
    442
  • Lastpage
    448
  • Abstract
    Dry Eye Syndrome is a common disease in the western world, with effects from uncomfortable itchiness to permanent damage to the ocular surface. Nevertheless, there is still no objective test that provides reliable results. We extend our method for the automated detection of dryness signs to include the breakup time (BUT), analysis of the degree of thinning of the tear film and detection of meniscus induced dryness, the last two have not been previously addressed. Our motivation is to help the clinician to automatically detect and analyze various signs related to dry eyes. The method has been tested on over 100 videos taken from 30 different patients. When compared to an analysis done by a specialized optometrist, our method is demonstrated to provide an accurate estimation for the BUT and the extent of the disease.
  • Keywords
    image sequences; medical image processing; object detection; automatic detection; break up time; dry eyes; meniscus detection; permanent damage; preocular tear film break-up sequence; uncomfortable itchiness; Australia; Computer applications; Cornea; Digital images; Diseases; Eyes; Image edge detection; Iris; Testing; Videos;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing: Techniques and Applications (DICTA), 2008
  • Conference_Location
    Canberra, ACT
  • Print_ISBN
    978-0-7695-3456-5
  • Type

    conf

  • DOI
    10.1109/DICTA.2008.70
  • Filename
    4700055