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Conferences > ECBO > 2017 > OA > 104130A

Detection of Distorted Frames in Retinal Video-sequences via Machine Learning

Radim Kolar, Ivana Liberdova, Jan Odstrcilik, Michal Hracho, and Ralf P. Tornow

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Abstract

This paper describes detection of distorted frames in retinal sequences based on set of global features extracted from each frame. The feature vector is consequently used in classification step, in which three types of classifiers are tested. The best classification accuracy 96% has been achieved with support vector machine approach.

© 2017 SPIE

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