Thesis Details

Detekce projevů onemocnění diabetes na sítnici lidského oka

Bachelor's Thesis Student: Sýkorová Tereza Academic Year: 2018/2019 Supervisor: Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D.
English title
Detection of Diseases of Diabetes on the Human Eye Retina
Language
Czech
Abstract

This bachelor's thesis deals with the detection of the symptoms of diabetic retinopathy at retinal images taken by a digital fundus camera. Optic disc, fovea, and blood vessels are found before searching for exudates and hemorrhages. This step improves final detection. The detector uses morphological reconstruction of a candidate region for determination of specific lesions. An algorithm based on thresholding precises its edges. Found regions are classified according to shape and color. Evaluation of detection was done using 120 images selected from three databases. Adding automatic detection of signs of diabetic retinopathy into equipment for retinal screening can help medical doctors in diagnosis and prevent possible vision loss which the disease can cause.

Keywords

diabetic retinopathy, eye retina, eye diseases, image processing, OpenCV, C++

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
10 June 2019
Reviewer
Semerád Lukáš, Ing., Ph.D.
Committee
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT), předseda
Fusek Michal, Ing., Ph.D. (DMAT FEEC BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Citation
SÝKOROVÁ, Tereza. Detekce projevů onemocnění diabetes na sítnici lidského oka. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-10. Supervised by Drahanský Martin. Available from: https://www.fit.vut.cz/study/thesis/22083/
BibTeX 
@bachelorsthesis{FITBT22083,
    author = "Tereza S\'{y}korov\'{a}",
    type = "Bachelor's thesis",
    title = "Detekce projev\r{u} onemocn\v{e}n\'{i} diabetes na s\'{i}tnici lidsk\'{e}ho oka",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22083/"
}

Theses

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