Automatic multiple threshold scheme for segmentation of tomograms

K. J. Batenburg; J. Sijbers

doi:10.1117/12.706788

8 March 2007 Automatic multiple threshold scheme for segmentation of tomograms

K. J. Batenburg, J. Sijbers

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 65123D (2007) https://doi.org/10.1117/12.706788
Event: Medical Imaging, 2007, San Diego, CA, United States

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.

Citation Download Citation

K. J. Batenburg and J. Sijbers "Automatic multiple threshold scheme for segmentation of tomograms", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65123D (8 March 2007); https://doi.org/10.1117/12.706788

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available