Thesis Details

Klasifikace objektů v obraze podle textury

Bachelor's Thesis Student: Hutárek Jiří Academic Year: 2007/2008 Supervisor: Španěl Michal, Ing., Ph.D.
English title
Texture-Based Object Recognition
Language
Czech
Abstract

This thesis focuses on texture detection through the use of Local binary patterns (LBP). The LBP histogram extracted from the image is used as the texture feature and the image is classified by an artificial neural network. By using these methods, an universal texture detector is implemented, which is then specialized for the aerial image object recognition.

Keywords

texture, local binary patterns, classification, segmentation, neural network, computer vision, MDSTk, aerial image

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
10 June 2008
Reviewer
Šilhavá Jana, Ing.
Committee
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), předseda
Drábek Vladimír, doc. Ing., CSc. (DCSY FIT BUT), člen
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Sochor Jiří, prof. Ing., CSc. (FI MUNI), člen
Citation
HUTÁREK, Jiří. Klasifikace objektů v obraze podle textury. Brno, 2008. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-06-10. Supervised by Španěl Michal. Available from: https://www.fit.vut.cz/study/thesis/3047/
BibTeX 
@bachelorsthesis{FITBT3047,
    author = "Ji\v{r}\'{i} Hut\'{a}rek",
    type = "Bachelor's thesis",
    title = "Klasifikace objekt\r{u} v obraze podle textury",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/3047/"
}

Theses

Back to top