Thesis Details

Hierarchické metody segmentace obrazu

Bachelor's Thesis Student: Staněk Stanislav Academic Year: 2007/2008 Supervisor: Španěl Michal, Ing., Ph.D.
English title
Hierarchical Image Segmentation
Language
Czech
Abstract

In many vision applications image segmentation is one of the most critical steps of analysis,which has the objective of extracting information from an image. In this work a segmentation method based upon fuzzy c-means  and k-means clustering is presented. A hierarchical data structure together with clustering algorithms for the segmentation in each level of the pyramid is used.The results show that the computation time is much less then that of a classical clustering.

Keywords

Image processing, segmentation, clustering, k-means, fuzzy c-means, Gaussian pyramid.

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
11 June 2008
Reviewer
Švub Miroslav, Ing.
Committee
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT), předseda
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), člen
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Linhart Miroslav, doc. Ing., CSc. (DCSY FIT BUT), člen
Martinek David, Ing. (DIFS FIT BUT), člen
Sochor Jiří, prof. Ing., CSc. (FI MUNI), člen
Citation
STANĚK, Stanislav. Hierarchické metody segmentace obrazu. Brno, 2008. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-06-11. Supervised by Španěl Michal. Available from: https://www.fit.vut.cz/study/thesis/5585/
BibTeX 
@bachelorsthesis{FITBT5585,
    author = "Stanislav Stan\v{e}k",
    type = "Bachelor's thesis",
    title = "Hierarchick\'{e} metody segmentace obrazu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/5585/"
}

Theses

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