Detail výsledku

Vector-based Medical Image Segmentation using Adaptive Delaunay Triangulation

ŠPANĚL, M.; KRŠEK, P. Vector-based Medical Image Segmentation using Adaptive Delaunay Triangulation. Proceedings of the Sixth IASTED International Conference on Visualization, Imaging, and Image Procesing. 541. Palma de Mallorca: ACTA Press, 2006. p. 1-6. ISBN: 0-88986-600-7.
Typ
článek ve sborníku konference
Jazyk
anglicky
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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

URL
Rok
2006
Strany
1–6
Sborník
Proceedings of the Sixth IASTED International Conference on Visualization, Imaging, and Image Procesing
Řada
541
Konference
The Sixth IASTED International Conference on Visualization, Imaging, and Image Processing
ISBN
0-88986-600-7
Vydavatel
ACTA Press
Místo
Palma de Mallorca
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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Projekty
Optická síť národního výzkumu a její nové aplikace, MŠMT, Výzkumná centra (2000-2004), MSM6383917201, zahájení: 2004-01-01, ukončení: 2010-12-31, ukončen
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