Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/6616
Title: Automatic classification of the interferential tear film lipid layer using colour texture analysis
Authors: Beatriz Remeseiro López
Penas,M
Barreira,N
Mosquera,A
Novo,J
Garcia Resua,C
Issue Date: 2013
Abstract: The tear film lipid layer is heterogeneous among the population. Its classification depends on its thickness and can be done using the interference pattern categories proposed by Guillon. This papers presents an exhaustive study about the characterisation of the interference phenomena as a texture pattern, using different feature extraction methods in different colour spaces. These methods are first analysed individually and then combined to achieve the best results possible. The principal component analysis (PCA) technique has also been tested to reduce the dimensionality of the feature vectors. The proposed methodologies have been tested on a dataset composed of 105 images from healthy subjects, with a classification rate of over 95% in some cases.
URI: http://repositorio.inesctec.pt/handle/123456789/6616
http://dx.doi.org/10.1016/j.cmpb.2013.04.007
metadata.dc.type: article
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Appears in Collections:Non INESC TEC publications - Articles in International Journals

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