PLoS ONE (Jan 2018)

Three-dimensional non-parametric method for limbus detection.

  • Ahmed Abass,
  • Bernardo T Lopes,
  • Ashkan Eliasy,
  • Richard Wu,
  • Steve Jones,
  • John Clamp,
  • Renato Ambrósio,
  • Ahmed Elsheikh

DOI
https://doi.org/10.1371/journal.pone.0207710
Journal volume & issue
Vol. 13, no. 11
p. e0207710

Abstract

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PurposeTo 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.MethodsThe 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.ResultsEvidence of significant differences (pConclusionsThe white-to-white distance in the human eye is significantly larger in the nasal-temporal direction than in the superior-inferior direction. The human limbus diameter was found not to vary significantly in these directions. The 3D measures show that the limbus contour does not lay in one plane and tends to be higher on the nasal-inferior side of the eye.