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Proceedings Paper

Automatic multiple threshold scheme for segmentation of tomograms
Author(s): K. J. Batenburg; J. Sijbers
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Paper 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.

Paper Details

Date Published: 8 March 2007
PDF: 8 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65123D (8 March 2007); doi: 10.1117/12.706788
Show Author Affiliations
K. J. Batenburg, Univ. of Antwerp (Belgium)
J. Sijbers, Univ. of Antwerp (Belgium)

Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)

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