Title
Threshold selection for segmentation of dense objects in tomograms Threshold selection for segmentation of dense objects in tomograms
Author
Faculty/Department
Faculty of Sciences. Physics
Publication type
article
Publication
Berlin ,
Subject
Physics
Computer. Automation
Source (journal)
Lecture notes in computer science. - Berlin, 1973, currens
Volume/pages
5258(2008) , p. 700-709
ISSN
0302-9743
ISI
000264057800067
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
Abstract
Tomographic reconstructions are often segmented to extract valuable quantitative information. In this paper, we consider the problem of segmenting a dense object of constant density within a continuous tomogram, by means of global hresholding. Selecting the proper threshold is a nontrivial problem, for which hardly any automatic procedures exists. We propose a new method that exploits the available projection data to accurately determine the optimal global threshold. Results from simulation experiments show that our algorithm is capable of finding a threshold that is close to the optimal threshold value.
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