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Title
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Threshold selection for segmentation of dense objects in tomograms
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Author
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Abstract
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| 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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Language
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English
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Source (journal)
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Lecture notes in computer science. - Berlin, 1973, currens
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Publication
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Berlin
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2008
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ISSN
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0302-9743
[print]
1611-3349
[online]
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Volume/pages
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5258
(2008)
, p. 700-709
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ISI
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000264057800067
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