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Publication detail
ŠPANĚL, M. KRŠEK, P.
Original Title
Vector-based Medical Image Segmentation using Adaptive Delaunay Triangulation
Type
conference paper
Language
English
Original Abstract
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.
Keywords
CT/MR data, image segmentation, 3D geometrical model, vector-based segmentation, Delaunay triangulation
Authors
ŠPANĚL, M.; KRŠEK, P.
RIV year
2006
Released
1. 9. 2006
Publisher
ACTA Press
Location
Palma de Mallorca
ISBN
0-88986-600-7
Book
Proceedings of the Sixth IASTED International Conference on Visualization, Imaging, and Image Procesing
Edition
541
Pages from
1
Pages to
6
Pages count
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="6", publisher="ACTA Press", address="Palma de Mallorca", isbn="0-88986-600-7" }