Paper Info
Title
Colour Texture Segmentation Of Tear Film Lipid Layer Images
Abstract
Dry eye is a symptomatic disease which can be diagnosed by several clinical tests. One of them is the evaluation of the interference lipid pattern and its classification into one of the Guillon categories. Previous researches have automatised this manual test, saving time for experts and providing unbiased results. However, the heterogeneity of the tear film lipid layer makes its classification into a single category per eye impossible. For this reason, this paper presents a first approximation to segment tear film images into the Guillon categories, in order to detect several categories in each patient. The adequacy of the methodology was demonstrated since it achieves reliable results in comparison with the annotations done by optometrists.
Year
DOI
Venue
2013
10.1007/978-3-642-53862-9_19
COMPUTER AIDED SYSTEMS THEORY, PT II
Keywords
Field
DocType
tear film lipid layer, Guillon categories, colour texture analysis, image segmentation
Clinical tests,Computer vision,Segmentation,Computer science,Image segmentation,Artificial intelligence
Conference
Volume
ISSN
Citations 
8112
0302-9743
2
PageRank 
References 
Authors
0.43
6
5
Name
Order
Citations
PageRank
B. Remeseiro-López120.43
L. Ramos2253.19
N. Barreira-Rodríguez320.43
Antonio Mosquera González411516.72
E. Yebra-Pimentel5234.64