Open AccessDetecting topographical eye disorders
Author(s) -
Adil Patel,
Rim Gouia Zarrad
Publication year - 2017
Publication title -
biomath
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.252
H-Index - 3
eISSN - 1314-7218
pISSN - 1314-684X
DOI - 10.11145/j.biomath.2016.12.281
Subject(s) - keratoconus , computer science , mobile phone , computer vision , optometry , artificial intelligence , phone , computer graphics (images) , medicine , ophthalmology , cornea , telecommunications , linguistics , philosophy
The goal of this paper is to outline a novel method of detecting topographical eye diseases using a mobile phone. Because the shape of the eye is of concern, its exterior will be evaluated. The description and current implementation of the technique will be discussed, where the keratoconus disease is used as an example. The technique usespictures taken of the eye using the onboard camera, and each one is compared to idealized images rendered in the phone. The pictures taken will be compared to the idealized images to search for the presence of the disease.
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