Yedidya, TamirCarr, George PeterHartley, RichardGuillon, Jean-Pierre2015-12-100302-9743http://hdl.handle.net/1885/56335We 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.Keywords: Asymmetric cost functions; Diagnostic tools; Dry areas; Dry eye; Dry region; Graph-cut; Multi-label; Reliability and robustness; Spatio-temporal; Tear films; Temporal evolution; Video sequences; Three dimensional computer graphics; Video recording; Medica200910.1007/978-3-642-04271-3_1182016-02-24