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Three-dimensional non-parametric method for limbus detection

Author

Listed:
  • Ahmed Abass
  • Bernardo T Lopes
  • Ashkan Eliasy
  • Richard Wu
  • Steve Jones
  • John Clamp
  • Renato Ambrósio Jr.
  • Ahmed Elsheikh

Abstract

Purpose: To present a novel non-parametric algorithm for detecting the position of the human eye limbus in three dimensions and a new dynamic method for measuring the full 360° visible iris boundary known as white-to-white distance along the eye horizontal line. Methods: The study included 88 participants aged 23 to 65 years (37.7±9.7), 47 females and 41 males. Clinical characteristics, height data and the apex coordinates and 1024×1280 pixel digital images of the eyes were taken by an Eye Surface Profiler and processed by custom-built MATLAB codes. A dynamic light intensity frequency based white-to-white detection process and a novel three-dimensional method for limbus detection is presented. Results: Evidence of significant differences (p

Suggested Citation

  • Ahmed Abass & Bernardo T Lopes & Ashkan Eliasy & Richard Wu & Steve Jones & John Clamp & Renato Ambrósio Jr. & Ahmed Elsheikh, 2018. "Three-dimensional non-parametric method for limbus detection," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-13, November.
    • Handle: RePEc:plo:pone00:0207710
    DOI: 10.1371/journal.pone.0207710
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