Detail publikace

Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra

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

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

BibTex


@inproceedings{BUT157433,
  author="Jaroslav {Hrdina} and Radomil {Matoušek} and Radek {Tichý}",
  title="Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra",
  annote="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",
  address="Springer, Cham",
  booktitle="Advances in Computer Graphics",
  chapter="157433",
  doi="10.1007/978-3-030-22514-8_56",
  edition="LNCS",
  howpublished="print",
  institution="Springer, Cham",
  year="2019",
  month="june",
  pages="564--570",
  publisher="Springer, Cham",
  type="conference paper"
}