Detail publikace

Vector-based Medical Image Segmentation using Adaptive Delaunay Triangulation

ŠPANĚL, M. KRŠEK, P.

Originální název

Vector-based Medical Image Segmentation using Adaptive Delaunay Triangulation

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

The image segmentation plays an important role in medical image processing. Many segmentation algorithms exists. Most of them produce raster data which is not suitable for further 3D geometrical modeling of tissues. In this paper, a vector segmentation algorithm based on an adaptive Delaunay triangulation is proposed. Triangular meshes are used to divide an image into several non-overlapping regions whose characteristics are similar. Novel methods for improving quality of the mesh and its adaptation to the image structure are also presented.

Klíčová slova

CT/MR data, image segmentation, 3D geometrical model, vector-based segmentation, Delaunay triangulation

Autoři

ŠPANĚL, M.; KRŠEK, P.

Rok RIV

2006

Vydáno

1. 9. 2006

Nakladatel

ACTA Press

Místo

Palma de Mallorca

ISBN

0-88986-600-7

Kniha

Proceedings of the Sixth IASTED International Conference on Visualization, Imaging, and Image Procesing

Edice

541

Strany od

1

Strany do

6

Strany počet

6

URL

BibTex

@inproceedings{BUT22252,
  author="Michal {Španěl} and Přemysl {Kršek}",
  title="Vector-based Medical Image Segmentation using Adaptive Delaunay Triangulation",
  booktitle="Proceedings of the Sixth IASTED International Conference on Visualization, Imaging, and Image Procesing",
  year="2006",
  series="541",
  pages="1--6",
  publisher="ACTA Press",
  address="Palma de Mallorca",
  isbn="0-88986-600-7",
  url="https://www.fit.vut.cz/research/publication/8150/"
}

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