Three-dimensional non-parametric method for limbus detection
Ahmed Abass,
Bernardo T Lopes,
Ashkan Eliasy,
Richard Wu,
Steve Jones,
John Clamp,
Renato Ambrósio and
Ahmed Elsheikh
PLOS ONE, 2018, vol. 13, issue 11, 1-13
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
Date: 2018
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0207710 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 07710&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0207710
DOI: 10.1371/journal.pone.0207710
Access Statistics for this article
More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().