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Proceedings Paper

Introduction to Bayesian image analysis
Author(s): Kenneth M. Hanson
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Paper Abstract

The basic concepts in the application of Bayesian methods to image analysis are introduced. The Bayesian approach has benefits in image analysis and interpretation because it permits the use of prior knowledge concerning the situation under study. The fundamental ideas are illustrated with a number of examples ranging from a problem in one and two dimensions to large problems in image reconstruction that make use of sophisticated prior information.

Paper Details

Date Published: 14 September 1993
PDF: 16 pages
Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); doi: 10.1117/12.154577
Show Author Affiliations
Kenneth M. Hanson, Los Alamos National Lab. (United States)


Published in SPIE Proceedings Vol. 1898:
Medical Imaging 1993: Image Processing
Murray H. Loew, Editor(s)

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