Detection of the tear meniscus shape using asymmetric graph-cuts

Tamir Yedidya*, Richard Hartley, Jean Pierre Guillon, Yogesan Kanagasingam

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    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.

    Original languageEnglish
    Title of host publication2010 7th IEEE International Symposium on Biomedical Imaging
    Subtitle of host publicationFrom Nano to Macro, ISBI 2010 - Proceedings
    Pages944-947
    Number of pages4
    DOIs
    Publication statusPublished - 2010
    Event7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands
    Duration: 14 Apr 201017 Apr 2010

    Publication series

    Name2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

    Conference

    Conference7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
    Country/TerritoryNetherlands
    CityRotterdam
    Period14/04/1017/04/10

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