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%.
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Calvo, D., Mosquera, A., Penas, M., García-Resúa, C., Remeseiro, B. (2010). Color Texture Analysis for Tear Film Classification: A Preliminary Study. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13775-4_39
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DOI: https://doi.org/10.1007/978-3-642-13775-4_39
Publisher Name: Springer, Berlin, Heidelberg
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