Texture and color analysis for the automatic classification of the eye lipid layer

  • Authors:

  • L. Ramos;M. Penas;B. Remeseiro;A. Mosquera;N. Barreira;E. Yebra-Pimentel

  • Affiliations:

  • Departamento de Computación, Universidade da Coruña, A Coruña, Spain;Departamento de Computación, Universidade da Coruña, A Coruña, Spain;Departamento de Computación, Universidade da Coruña, A Coruña, Spain;Departamento de Electrónica y Computación, Universidade de Santiago de Compostela, Santiago de Compostela, Spain;Departamento de Computación, Universidade da Coruña, A Coruña, Spain;Escuela de Óptica y Optometría, Universidade de Santiago de Compostela, Santiago de Compostela

  • Venue:
  • IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
  • Year:
  • 2011

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Abstract

This paper describes a methodology for the automatic classification of the eye lipid layer based on the categories enumerated by Guillon [1]. From a photography of the eye, the system detects the region of interest where the analysis will take place, extracts its low-level features, generates a feature vector that describes it and classifies the feature vector in one of the target categories. We have tested our methodology on a dataset composed of 105 images, with a classification rate of over