Thesis Details

Detekce kvádrů-krabic v obraze

Bachelor's Thesis Student: Soroka Matej Academic Year: 2020/2021 Supervisor: Herout Adam, prof. Ing., Ph.D.
English title
Detection of Boxes in Image
Language
Czech
Abstract

The aim of this work is to experiment and evaluate different approaches of computer vision with the aim of automatic detection of boxes-blocks in the image, for this purpose, approaches based on neural networks were used in the solution. Experiments were performed with classification using our own data set, classification using our own convolutional neural network, detection using a window, YOLO detector and in the last part a proposal for improvement using U-net and MirrorNet networks.

Keywords

Tensorflow, Detection, Segmentation, Keras, YOLO, U-Net, MirrorNet

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
not defended
Date
14 June 2021
Reviewer
Bartl Vojtěch, Ing.
Committee
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT), předseda
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Citation
SOROKA, Matej. Detekce kvádrů-krabic v obraze. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-14. Supervised by Herout Adam. Available from: https://www.fit.vut.cz/study/thesis/23247/
BibTeX 
@bachelorsthesis{FITBT23247,
    author = "Matej Soroka",
    type = "Bachelor's thesis",
    title = "Detekce kv\'{a}dr\r{u}-krabic v obraze",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/23247/"
}

Theses

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