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VÍDEŇSKÝ, F. ZBOŘIL, F.
Originální název
Computer Aided Recognition and Classification of Coats of Arms
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper describes the design and development of a system for detection and recognition of coat of arms and its heraldic parts (components). It introduces the methods by which individual features can be implemented. Most of the heraldic parts are segmented using a convolution neural networks and the rest of them are segmented using active contour model. The Histogram of the gradient method was chosen for coats of arms detection in an image. For training and functionality verification we used our own data that was created as a part of our research. The resulting system can serve as an auxiliary tool used in heraldry and other sciences related to history.
Klíčová slova
Convolutional Neural Networks, Image Processing, Segmentation, Heraldy
Autoři
VÍDEŇSKÝ, F.; ZBOŘIL, F.
Vydáno
22. 3. 2018
Nakladatel
Springer International Publishing
Místo
Los Alamitos
ISBN
978-3-319-76347-7
Kniha
Proceedings ISDA 2017
Edice
Advances in Intelligent Systems and Computing, vol 736
ISSN
2194-5357
Periodikum
Advances in Intelligent Systems and Computing
Ročník
2018
Číslo
3
Stát
Švýcarská konfederace
Strany od
63
Strany do
73
Strany počet
10
BibTex
@inproceedings{BUT146267, author="František {Vídeňský} and František {Zbořil}", title="Computer Aided Recognition and Classification of Coats of Arms", booktitle="Proceedings ISDA 2017", year="2018", series="Advances in Intelligent Systems and Computing, vol 736", journal="Advances in Intelligent Systems and Computing", volume="2018", number="3", pages="63--73", publisher="Springer International Publishing", address="Los Alamitos", doi="10.1007/978-3-319-76348-4\{_}7", isbn="978-3-319-76347-7", issn="2194-5357" }