Name
Title | ||
|---|---|---|
Colour Texture Analysis for Classifying the Tear Film Lipid Layer: A Comparative Study |
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/DICTA.2011.51 | DICTA |
Keywords | Field | DocType |
classification rate,tear film lipid layer,colour texture analysis,colour space,comparative study,different texture extraction method,low-level feature,texture analysis method,film lipid layer,feature vector,automatic classification,discrete wavelet transform,gray scale,region of interest,butterworth filters,color,accuracy,image classification,lipidomics,molecular biophysics,feature extraction,machine learning | Computer vision,Feature vector,Pattern recognition,Computer science,Feature extraction,Photography,Artificial intelligence,Region of interest,Contextual image classification,Classification rate,Grayscale,Texture extraction | Conference |
Citations | PageRank | References |
8 | 0.68 | 7 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| B. Remeseiro | 1 | 33 | 3.54 |
| L. Ramos | 2 | 25 | 3.19 |
| M. Penas | 3 | 97 | 9.60 |
| E. Martinez | 4 | 8 | 0.68 |
| Manuel G. Penedo | 5 | 284 | 24.93 |
| Antonio Mosquera González | 6 | 115 | 16.72 |