Thesis Details

Segmentace žil a tepen v sítnicových snímcích

Bachelor's Thesis Student: Sedlář Radek Academic Year: 2021/2022 Supervisor: Kavetskyi Andrii
English title
Vein-Artery Segmentation of Blood Vessels in Retinal Images
Language
Czech
Abstract

This work focuses on an introduction to the issue of segmentation of veins and arteries from retinal images. The work contains a comparison of the most used methods with their pros and cons. Furthermore, a proprietary method for segmentation and division into veins and arteries is proposed. The work also contains a detailed description of the implementation of the proposed method and a summary of their results.

Keywords

Segmentation, OpenCV, Python, DRIVE, STARE, HRF, Matched filtering

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
14 June 2022
Reviewer
Kanich Ondřej, Ing., Ph.D.
Committee
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT), předseda
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Lengál Ondřej, Ing., Ph.D. (DITS FIT BUT), člen
Citation
SEDLÁŘ, Radek. Segmentace žil a tepen v sítnicových snímcích. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-14. Supervised by Kavetskyi Andrii. Available from: https://www.fit.vut.cz/study/thesis/24912/
BibTeX 
@bachelorsthesis{FITBT24912,
    author = "Radek Sedl\'{a}\v{r}",
    type = "Bachelor's thesis",
    title = "Segmentace \v{z}il a tepen v s\'{i}tnicov\'{y}ch sn\'{i}mc\'{i}ch",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/24912/"
}

Theses

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