@inproceedings{4042824edd574cefba6ebfa5fe60e279,
title = "Detection of the tear meniscus shape using asymmetric graph-cuts",
abstract = "We present a new fully automatic algorithm to evaluate the shape and regularity of the tear meniscus in eye images taken using a slit-lamp after instilling fluorescein. Our method analyzes the meniscus in the corneal and conjunctival areas and detects abnormalities such as conjunctival folds. We use graph-cuts to minimize a cost function to simultaneously produce a segmentation of the meniscus and the best shape prior for the eyelids. The pairwise term is asymmetric in order to capture the global properties of the meniscus and add a sense of direction. We tested our method on 43 images and provide a grading of the quality of the meniscus.",
keywords = "Asymmetry, Dry eye, Graph-cuts, Segmentation, Tear meniscus",
author = "Tamir Yedidya and Richard Hartley and Guillon, {Jean Pierre} and Yogesan Kanagasingam",
year = "2010",
doi = "10.1109/ISBI.2010.5490143",
language = "English",
isbn = "9781424441266",
series = "2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings",
pages = "944--947",
booktitle = "2010 7th IEEE International Symposium on Biomedical Imaging",
note = "7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 ; Conference date: 14-04-2010 Through 17-04-2010",
}