Detail publikačního výsledku

Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra

HRDINA, J.; MATOUŠEK, R.; TICHÝ, R.

Originální název

Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra

Anglický název

Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

We apply conformal geometric algebra (CGA) to classical algorithms for colour image segmentation. Particularly, we modify stan dard Prewitt quaternionic filter for edge detection and region growing segmentation procedure and use them simultaneously, which is only allowed by common CGA language, more precisely by the notion of flat point in normalised and unnormalised form

Anglický abstrakt

We apply conformal geometric algebra (CGA) to classical algorithms for colour image segmentation. Particularly, we modify stan dard Prewitt quaternionic filter for edge detection and region growing segmentation procedure and use them simultaneously, which is only allowed by common CGA language, more precisely by the notion of flat point in normalised and unnormalised form

Klíčová slova

Conformal geometric algebra; Region growing; Flat point

Klíčová slova v angličtině

Conformal geometric algebra; Region growing; Flat point

Autoři

HRDINA, J.; MATOUŠEK, R.; TICHÝ, R.

Rok RIV

2020

Vydáno

15.06.2019

Nakladatel

Springer, Cham

Místo

Springer Nature Switzerland AG 2019

ISBN

978-3-030-22513-1

Kniha

Advances in Computer Graphics

Edice

LNCS

Strany od

564

Strany do

570

Strany počet

7

URL

https://doi.org/10.1007/978-3-030-22514-8 _ 56

BibTex

@inproceedings{BUT157433,
  author="Jaroslav {Hrdina} and Radomil {Matoušek} and Radek {Tichý}",
  title="Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra",
  booktitle="Advances in Computer Graphics",
  year="2019",
  series="LNCS",
  number="11542",
  pages="564--570",
  publisher="Springer, Cham",
  address="Springer Nature Switzerland AG 2019",
  doi="10.1007/978-3-030-22514-8\{_}56",
  isbn="978-3-030-22513-1",
  url="https://doi.org/10.1007/978-3-030-22514-8 _ 56"
}