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Detection of the tear meniscus shape using asymmetric graph-cuts | IEEE Conference Publication | IEEE Xplore

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. O...Show More

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.
Date of Conference: 14-17 April 2010
Date Added to IEEE Xplore: 21 June 2010
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Conference Location: Rotterdam, Netherlands

References

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