Thesis Details

Detekce chorob v snímku sítnice oka

Bachelor's Thesis Student: Koštialik Daniel Academic Year: 2016/2017 Supervisor: Maruniak Lukáš, Ing.
English title
Disease Detection in Eye Retina Image
Language
Czech
Abstract

Diabetic retinopathy and age related macular degeneration are among the most common eye retina diseases, which cause partial or complete blindness. The main goal of this thesis is to design and implement software for automatic detection of symptoms from eye fundus images. The detection algorithm is based on the image segmentation by region growing method and afterwards analysis. Determination of retina objects such as optic disc, macula and blood vessels is important prior symptoms detection as they can adversely affect the results of the analysis. Total 259 images were analysed and algorithm reaches more than 90 % average success rate. The algorithm, in combination with appropriate hardware and optic mechanism, forms one of practical application in global population screening. Thanks the automatic detection it is possible to determine the presence of symptoms and start an early treatment.

Keywords

eye retina, eye disease, diabetic retinopathy, age related macular degeneration, image processing, OpenCV, C++

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
14 June 2017
Reviewer
Semerád Lukáš, Ing., Ph.D.
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
KOŠTIALIK, Daniel. Detekce chorob v snímku sítnice oka. Brno, 2017. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-14. Supervised by Maruniak Lukáš. Available from: https://www.fit.vut.cz/study/thesis/19892/
BibTeX 
@bachelorsthesis{FITBT19892,
    author = "Daniel Ko\v{s}tialik",
    type = "Bachelor's thesis",
    title = "Detekce chorob v sn\'{i}mku s\'{i}tnice oka",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19892/"
}

Theses

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