Enforcing Monotonic Temporal Evolution in Dry Eye Images
We address the problem of identifying dry areas in the tear film as part of a diagnostic tool for dry-eye syndrome. The requirement is to identify and measure the growth of the dry regions to provide a time-evolving map of degrees of dryness. We segment dry regions using a multi-label graph-cut algorithm on the 3D spatio-temporal volume of frames from a video sequence. To capture the fact that dryness increases over the time of the sequence, we use a time-asymmetric cost function that enforces...[Show more]
|Collections||ANU Research Publications|
|Source:||Lecture Notes in Computer Science (LNCS)|
|01_Yedidya_Enforcing_Monotonic_Temporal_2009.pdf||319.02 kB||Adobe PDF||Request a copy|
|02_Yedidya_Enforcing_Monotonic_Temporal_2009.pdf||46.21 kB||Adobe PDF||Request a copy|
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