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Detail publikace
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
URL
https://www.fit.vut.cz/research/publication/8150/
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/" }
Dokumenty
spanel_krsek_viip06.pdf