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KOLÁŘ, R. LABOUNKOVÁ, I. ODSTRČILÍK, J. HRACHO, M. TORNOW, R.
Original Title
Detection of distorted frames in retinal video-sequences via machine learning
Type
conference paper
Language
English
Original 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.
Keywords
retina; image processing; machine learning
Authors
KOLÁŘ, R.; LABOUNKOVÁ, I.; ODSTRČILÍK, J.; HRACHO, M.; TORNOW, R.
Released
29. 8. 2017
Publisher
SPIE-OSA
ISBN
9781510612846
Book
SPIE Proceedings (Optical Society of America)
Edition
Novel Biophotonics Techniques and Applications IV
Pages from
1
Pages to
4
Pages count
BibTex
@inproceedings{BUT138774, author="Radim {Kolář} and Ivana {Labounková} and Jan {Odstrčilík} and Michal {Hracho} and Ralf-Peter {Tornow}", title="Detection of distorted frames in retinal video-sequences via machine learning", booktitle="SPIE Proceedings (Optical Society of America)", year="2017", series="Novel Biophotonics Techniques and Applications IV", pages="1--4", publisher="SPIE-OSA", doi="10.1117/12.2284172", isbn="9781510612846" }