Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-14289
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Main Title: Volume Segmentation of 3-dimensional Images
Author(s): Fiorio, Christophe
Gustedt, Jens
Type: Research Paper
URI: https://depositonce.tu-berlin.de/handle/11303/15516
http://dx.doi.org/10.14279/depositonce-14289
License: http://rightsstatements.org/vocab/InC/1.0/
Abstract: We present a practical method to segment large medical images that takes the whole 3-dimensional structure into account. We use a Union-Find data structure to record and maintain the necessary information during the segmentation process. Due to the large data size, we are forced to divide our process in two parts: a "weak segmentation" of the individual sections and a global integration of all the data. This method shows good results on computer tomographies.
Subject(s): volume segentation
3-dimensional images
images
Union-Find
tomography
Issue Date: 1996
Date Available: 17-Dec-2021
Language Code: en
DDC Class: 510 Mathematik
Series: Preprint-Reihe des Instituts für Mathematik, Technische Universität Berlin
Series Number: 1996, 515
ISSN: 2197-8085
TU Affiliation(s): Fak. 2 Mathematik und Naturwissenschaften » Inst. Mathematik
Appears in Collections:Technische Universität Berlin » Publications

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