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Color Texture Analysis for Tear Film Classification: A Preliminary Study

  • D. Calvo
  • A. Mosquera
  • M. Penas
  • C. García-Resúa
  • B. Remeseiro
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6112)

Abstract

The tear lipid layer is not homogeneous among the population and its classification depends on its width. Too thin or too thick films can lead to unhealthy eyes as well as create problems when interacting with contact lenses. This work proposes a preliminary methodology to classify the tear lipid layer according to its texture into four main categories. The proposed methodology works on several stages to detect the region of interest, extract the texture descriptors on colour information and classify these descriptors. The method has been tested on several images from each tear type. In some cases, we obtain classification results over the 90%.

Keywords

Tear film lipid layer opponent colors band pass filtering 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • D. Calvo
    • 1
  • A. Mosquera
    • 2
  • M. Penas
    • 1
  • C. García-Resúa
    • 3
  • B. Remeseiro
    • 1
  1. 1.VARPA Group, Dept. of Computer ScienceUniv. A CoruñaSpain
  2. 2.Artificial Vision Group, Dept. of Electronics and Computer ScienceUniv. Santiago de CompostelaSpain
  3. 3.Optometry Group, Dept. Aplied PhysicsUniv. Santiago de CompostelaSpain

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