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Proceedings Paper

Fusing multiple images with evidential reasoning
Author(s): Xiaohui Yuan; Jian Zhang; Bill P. Buckles
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Paper Abstract

An approach to fuse multiple images based on Dempster-Shafer evidential reasoning is proposed in this article. Dempster-Shafer theory provides a complete framework for combining weak evidences from multiple sources. Such situations typically arise in the image fusion problems, where a `real scene' image has to be estimated from incomplete and unreliable observations. By converting images from their spatial domain into the evidential representations, decisions are made to aggregate evidences such that a fused image is generated. The proposed fusion approach is evaluated on a broad set of images and promising results are given.

Paper Details

Date Published: 1 April 2003
PDF: 7 pages
Proc. SPIE 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003, (1 April 2003); doi: 10.1117/12.486395
Show Author Affiliations
Xiaohui Yuan, Tulane Univ. (United States)
Jian Zhang, Tulane Univ. (United States)
Bill P. Buckles, Tulane Univ. (United States)


Published in SPIE Proceedings Vol. 5099:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003
Belur V. Dasarathy, Editor(s)

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