| Autor: |
Yedidya, Tamir, Carr, Peter, Hartley, Richard, Guillon, Jean-Pierre |
| Zdroj: |
Medical Image Computing & Computer-assisted Intervention - Miccai 2009 (9783642042706); 2009, p976-984, 9p |
| Abstrakt: |
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 a constraint that the dryness of each pixel monotonically increases. We demonstrate how this increases our estimation΄s reliability and robustness. We tested the method on a set of videos and suggest further research using a similar approach. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
