Thesis Details

Detekce a rozpoznání hub v přirozeném prostředí

Master's Thesis Student: Steinhauser Dominik Academic Year: 2016/2017 Supervisor: Špaňhel Jakub, Ing.
English title
Mushroom Detection and Recognition in Natural Environment
Language
Czech
Abstract

In this thesis is handled the problem of mushroom detection and recognition in natural environment. Convolutional neural networks are used. The beginning of this thesis is dedicated to the theory of neural networks. Further is solved the problem of object detection and classification. Using neural network trained for classification is solved also the task of localization. Results of trained CNNs are analised.

Keywords

Machine learning, Convolutional neural networks, Classification, Mushroom classification, Mushroom detection,CNN, FCN

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology, Field of Study Mathematical Methods in Information Technology
Files
Status
defended, grade D
Date
19 June 2017
Reviewer
Juránek Roman, Ing., Ph.D.
Committee
Vojnar Tomáš, prof. Ing., Ph.D. (DITS FIT BUT), předseda
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Lucká Mária, prof. RNDr., Ph.D. (FIIT STU), člen
Citation
STEINHAUSER, Dominik. Detekce a rozpoznání hub v přirozeném prostředí. Brno, 2017. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-19. Supervised by Špaňhel Jakub. Available from: https://www.fit.vut.cz/study/thesis/19923/
BibTeX 
@mastersthesis{FITMT19923,
    author = "Dominik Steinhauser",
    type = "Master's thesis",
    title = "Detekce a rozpozn\'{a}n\'{i} hub v p\v{r}irozen\'{e}m prost\v{r}ed\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19923/"
}

Theses

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