Low Level Fusion of Imagery Based on Dempster-Shafer Theory

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.

• Type: Conference
• Year: 2003
• Where: FLAIRS
• Authors: Xiaohui Yuan, Jian Zhang 0007, Xiaojing Yuan, Bill P. Buckles
• Keywords: Artificial Intelligence, Dempster-Shafer Evidential Reasoning, FLAIRS 2003, Image Fusion Problems, Images