Publication detail

Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra

HRDINA, J. MATOUŠEK, R. TICHÝ, R.

English title

Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra

Type

Paper in proceedings (conference paper)

Language

en

Original abstract

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

Keywords in English

Conformal geometric algebra; Region growing; Flat point

Released

2019-06-15

Publisher

Springer, Cham

Location

Springer Nature Switzerland AG 2019

ISBN

978-3-030-22513-1

Book

Advances in Computer Graphics

Pages from–to

564–570

Pages count

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",
  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"
}