Publication
Title
Automatic multiple threshold scheme for segmentation of tomograms
Author
Abstract
Tomographic reconstructions, which are generally gray-scale images, are often segmented as to extract quantitative information, such as the shape or volume of image objects. At present, segmentation is usually performed by thresholding. However, the process of threshold selection is somewhat arbitrary and requires human interaction. In this paper, we present an algorithmic approach for automatically selecting the segmentation thresholds by using the available tomographic projection data. Assuming that each material (i.e., tissue type) in the sample has a characteristic, approximately constant gray value, thresholds are computed for which the segmented image corresponds optimally with the projection data.
Language
English
Source (book)
Proceedings of SPIE Medical Imaging: Physics of Medical Imaging, Medical Imaging 2007: Image Processing / Pluim, Josien P.W. [edit.]
Publication
San Diego, Calif. : SPIE, 2007
ISBN
978-0-8194-6630-3
Volume/pages
p. 65123D
Article Reference
65123D
ISI
000246288500118
Medium
E-only publicatie
Full text (Publishers DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 08.10.2008
Last edited 05.05.2017
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