Title :
Colour Texture Analysis for Classifying the Tear Film Lipid Layer: A Comparative Study
Author :
Remeseiro, B. ; Ramos, L. ; Penas, M. ; Martínez, E. ; Penedo, M.G. ; Mosquera, A.
Author_Institution :
Dept. de Comput., Univ. da Coruna, A Coruna, Spain
Abstract :
This paper presents a comparative study of different texture extraction methods for the automatic classification of the tear film lipid layer based on the categories enumerated by Guillon. From a photography of the eye, a region of interest is detected and its low-level features are extracted, generating a feature vector that describes it, to be finally classified in one of the target categories. This paper discusses several texture analysis methods and colour spaces to generate the feature vectors. The proposed methods have been tested on a dataset composed of 105 images, with a classification rate of over 95% in some cases.
Keywords :
biomedical optical imaging; eye; feature extraction; image classification; image colour analysis; medical image processing; molecular biophysics; colour texture analysis; eye photography; feature vector; low level feature extraction; tear film lipid layer automatic classification; texture extraction methods; Accuracy; Color; Discrete wavelet transforms; Feature extraction; Gray-scale; Image color analysis; Lipidomics; Butterworth filters; Eye lipid layer; Gabor filters; Guillon categories; Markov random fields; co-occurrence features; machine learning; the discrete wavelet transform;
Conference_Titel :
Digital Image Computing Techniques and Applications (DICTA), 2011 International Conference on
Conference_Location :
Noosa, QLD
Print_ISBN :
978-1-4577-2006-2
DOI :
10.1109/DICTA.2011.51
