Thesis Details
Počítačová podpora rozpoznávání a klasifikace rodových erbů
This master thesis describes the design and development of the system for detection and recognition of whole coat of arms as well as each heraldic parts. In the thesis are presented methods of computer vision for segmentation and detection of an object and selected methods that are the most suitable. Most of the heraldic parts are segmented using a convolution neural networks and the rest using active contours. The Histogram of the gradient method was selected for coats of arms detection in an image. For training and functionality verification is used my own data set. The resulting system can serve as an auxiliary tool used in auxiliary sciences of history.
heraldry, computer vision, Histograms of oriented gradients, Support vector machine, convolutional neural networks, semantic segmentation, active contours
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Matyska Luděk, prof. RNDr., CSc. (FI MUNI), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
@mastersthesis{FITMT18315,
author = "Franti\v{s}ek V\'{i}de\v{n}sk\'{y}",
type = "Master's thesis",
title = "Po\v{c}\'{i}ta\v{c}ov\'{a} podpora rozpozn\'{a}v\'{a}n\'{i} a klasifikace rodov\'{y}ch erb\r{u}",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2017,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/18315/"
}