Sclera vessel pattern synthesis based on a non-parametric texture synthesis technique
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Mondal, Prabir
Pal, Umapada
Blumenstein, Michael
Ferrer Ballester, Miguel Angel
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Balasubramanian Raman, Sanjeev Kumar, Partha Pratim Roy, Debashis Sen
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Roorkee, India
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Abstract
This work proposes a sclera vessel texture pattern synthesis technique. Sclera texture was synthesized by a non-parametric based texture regeneration technique. A small number of classes from the UBIRIS version: 1 dataset was employed as primitive images. An appreciable result was achieved which solicits the successful synthesis of sclera texture patterns. It is difficult to get a huge collection real sclera data and hence such synthetic data will be useful to the researchers.
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Proceedings of International Conference on Computer Vision and Image Processing (CVIP 2016). Volume 2
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Computer vision