Detail publikace

Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra

HRDINA, J. MATOUŠEK, R. TICHÝ, R.

Anglický název

Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

en

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 anglicky

Conformal geometric algebra; Region growing; Flat point

Vydáno

15.06.2019

Nakladatel

Springer, Cham

Místo

Springer Nature Switzerland AG 2019

ISBN

978-3-030-22513-1

Kniha

Advances in Computer Graphics

Číslo edice

11542

Strany od–do

564–570

Počet stran

7

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",
  month="June",
  pages="564--570",
  publisher="Springer, Cham",
  address="Springer Nature Switzerland AG 2019",
  isbn="978-3-030-22513-1"
}