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Proceedings Paper

Application Of The Em Algorithm In Image Reconstruction And Image Processing
Author(s): Chin-Tu Chen; Charles E. Metz
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Paper Abstract

EM (expectation-maximization) algorithms for maximum likelihood estimation have received considerable attention in recent years due to their computational feasibility in tomographic image reconstruction. It is less widely recognized, however, that EN algorithms can be equally applicable to image processing in general. In this paper, the theoretical foundation of EM algorithms is first outlined. Applications of EN algorithms in both image reconstruction and image processing are then described, and some characteristics of these EM algorithms are discussed.

Paper Details

Date Published: 1 January 1987
PDF: 6 pages
Proc. SPIE 0767, Medical Imaging, (1 January 1987); doi: 10.1117/12.967014
Show Author Affiliations
Chin-Tu Chen, The University of Chicago (United States)
Charles E. Metz, The University of Chicago (United States)


Published in SPIE Proceedings Vol. 0767:
Medical Imaging
Samuel J. Dwyer; Roger H. Schneider, Editor(s)

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