Detail publikačního výsledku

Detection of distorted frames in retinal video-sequences via machine learning

KOLÁŘ, R.; LABOUNKOVÁ, I.; ODSTRČILÍK, J.; HRACHO, M.; TORNOW, R.

Originální název

Detection of distorted frames in retinal video-sequences via machine learning

Anglický název

Detection of distorted frames in retinal video-sequences via machine learning

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

retina; image processing; machine learning

Klíčová slova v angličtině

retina; image processing; machine learning

Autoři

KOLÁŘ, R.; LABOUNKOVÁ, I.; ODSTRČILÍK, J.; HRACHO, M.; TORNOW, R.

Rok RIV

2018

Vydáno

29.08.2017

Nakladatel

SPIE-OSA

ISBN

9781510612846

Kniha

SPIE Proceedings (Optical Society of America)

Edice

Novel Biophotonics Techniques and Applications IV

Strany od

1

Strany do

4

Strany počet

4

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"
}