Publication result detail

Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra

HRDINA, J.; MATOUŠEK, R.; TICHÝ, R.

Original Title

Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra

English Title

Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra

Type

Paper in proceedings (conference paper)

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

English 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

Conformal geometric algebra; Region growing; Flat point

Key words in English

Conformal geometric algebra; Region growing; Flat point

Authors

HRDINA, J.; MATOUŠEK, R.; TICHÝ, R.

RIV year

2020

Released

15.06.2019

Publisher

Springer, Cham

Location

Springer Nature Switzerland AG 2019

ISBN

978-3-030-22513-1

Book

Advances in Computer Graphics

Edition

LNCS

Pages from

564

Pages to

570

Pages count

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"
}