• DocumentCode
    134618
  • Title

    Finding the smallest circle containing the iris in the denoised wavelet domain

  • Author

    Rivas-Perea, Pablo ; Henning, Ryan ; Shaw, Bikash ; Hamerly, Greg

  • Author_Institution
    Dept. of Comput. Sci., Baylor Univ., Waco, TX, USA
  • fYear
    2014
  • fDate
    6-8 April 2014
  • Firstpage
    13
  • Lastpage
    16
  • Abstract
    Retinoblastoma is a pediatric ocular cancer typically indicated by leukocoria (white-eye pupillary reflex). Early detection of leukocoria can improve health outcomes when it indicates disease, and it can be easily seen in recreational photographs. As part of a system for automatic leukocoria detection, we propose an image processing algorithm for detecting the exact location and radius of the smallest circle containing the iris in an eye image. Our algorithms use both median filters and two-dimensional stationary wavelet transforms and achieve low error rates.
  • Keywords
    cancer; eye; image denoising; median filters; medical image processing; wavelet transforms; automatic leukocoria detection; denoised wavelet domain; disease; eye image; image processing algorithm; iris; low error rates; median filters; pediatric ocular cancer; recreational photographs; retinoblastoma; two-dimensional stationary wavelet transforms; white-eye pupillary reflex; Image color analysis; Image edge detection; Iris; Noise reduction; Wavelet transforms; iris; leukocoria; median filter; retinoblastoma; wavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation (SSIAI), 2014 IEEE Southwest Symposium on
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/SSIAI.2014.6806017
  • Filename
    6806017