Thesis Details

Detekce elipsy v obraze

Master's Thesis Student: Hříbek Petr Academic Year: 2007/2008 Supervisor: Hradiš Michal, Ing., Ph.D.
English title
Ellipse Detection
Language
Czech
Abstract

The thesis introduces methods used for an ellipse detection. Each method is theoretically described in current subsection. The description includes methods like Hough transform, Random Hough transform, RANSAC, Genetic Algorithm and improvements with optimalization. Further there are described modifications of current procedures in the thesis to reach better results. Next to the last chapter represents testing parameters of speed, quality and accuracy of implemented algorithms. There is a conclusion of testing and a result discussion at the end.

Keywords

ellipse detection, scene analysis, picture processing, pattern recognition, Hough Transformation, curve detection, RANSAC, Random Hough Transform, Genetic Algorithm

Department
Degree Programme
Information Technology, Field of Study Computer Graphics and Multimedia
Files
Status
defended, grade A
Date
17 June 2008
Reviewer
Committee
Meduna Alexander, prof. RNDr., CSc. (DIFS FIT BUT), předseda
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), člen
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Kršek Přemysl, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Sochor Jiří, prof. Ing., CSc. (FI MUNI), člen
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT), člen
Citation
HŘÍBEK, Petr. Detekce elipsy v obraze. Brno, 2008. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-06-17. Supervised by Hradiš Michal. Available from: https://www.fit.vut.cz/study/thesis/4267/
BibTeX
@mastersthesis{FITMT4267,
    author = "Petr H\v{r}\'{i}bek",
    type = "Master's thesis",
    title = "Detekce elipsy v obraze",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/4267/"
}
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