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Proceedings Paper

Priors on scale-space templates
Author(s): Alyson G. Wilson; Valen E. Johnson
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Paper Abstract

Much of the Bayesian work in image analysis has focused on the incorporation of vague prior knowledge about the true image into the analysis and on the calculation of appropriate estimates of the resulting posterior distribution. However, in the field of medical imaging, there is a need to incorporate more specific prior information. This paper discusses various models for shape deformation and how they can be applied to the specification of priors on scale-space templates. A new model will be proposed that accounts for features at multiple spatial resolutions and the qualitative spatial relationships among those features.

Paper Details

Date Published: 8 July 1994
PDF: 8 pages
Proc. SPIE 2299, Mathematical Methods in Medical Imaging III, (8 July 1994); doi: 10.1117/12.179247
Show Author Affiliations
Alyson G. Wilson, Duke Univ. (United States)
Valen E. Johnson, Duke Univ. (United States)

Published in SPIE Proceedings Vol. 2299:
Mathematical Methods in Medical Imaging III
Fred L. Bookstein; James S. Duncan; Nicholas Lange; David C. Wilson, Editor(s)

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