• DocumentCode
    1741501
  • Title

    Analysis of corneal images for assessing contact lens trauma

  • Author

    Cullen, Janine ; Fieguth, Paul ; Pounder, Shane ; Whitear, Kim

  • Author_Institution
    Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    176
  • Abstract
    Contact lens wearers are often affected by a condition known as conjuctival hyperaemia. This condition is characterised by dilated blood vessels visible in the sclera (the white portion of the eye). Optometrists need to be able to detect changes in the level of redness and to repeatably assess the absolute levels of redness found in a patient´s eye in order to prescribe and evaluate treatment. The goal of this paper is to develop an automated method for grading the level of redness in human eyes. The selected features examine the average redness and length of arterial edges. The computed features are correlated with expert data collected to train the redness estimator
  • Keywords
    blood vessels; edge detection; eye; feature extraction; image colour analysis; medical image processing; arterial edges; conjuctival hyperaemia; contact lens trauma; corneal images; dilated blood vessels; eye; human eyes; patient; redness; redness estimator; sclera; Arteries; Biomedical imaging; Blood vessels; Design engineering; Feature extraction; Humans; Image analysis; Image segmentation; Lenses; System analysis and design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.900923
  • Filename
    900923