Detail publikace

Computer Aided Recognition and Classification of Coats of Arms

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"
}