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Automatic Dry Eye Detection

Yedidya, Tamir; Hartley, Richard; Guillon, Jean; Kanagasingam, Yogesan


Dry Eye Syndrome is a common disease in the western world, with effects from uncomfortable itchiness to permanent damage to the ocular surface. Nevertheless, there is still no objective test that provides reliable results. We have developed a new method for the automated detection of dry areas in videos taken after instilling fluorescein in the tear film. The method consists of a multi-step algorithm to first locate the iris in each image, then align the images and finally analyze the aligned...[Show more]

CollectionsANU Research Publications
Date published: 2007
Type: Conference paper
Source: Medical Image Computing and Computer Assisted Intervention Society Conference Proceedings


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