DocumentCode :
1564043
Title :
Hybrid fusion approach based on fuzzy feature and evidential reasoning
Author :
Yuan, Xiaohui ; Zhang, Jian ; Buckles, Bill P.
Author_Institution :
Dept. of Electr. Eng. & Comput Sci., Tulane Univ., New Orleans, LA, USA
Volume :
2
fYear :
2003
Firstpage :
961
Abstract :
An approach to fuse multiple images based on fuzzy feature representation and evidential reasoning is proposed in this article. Fuzzy set and Dempster-Shafer theory provides a complete framework to describe information naturally and combine weak evidence 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 fuzzy evidential representations, decisions are made to aggregate evidence such that a fused image is generated. The proposed fusion approach is evaluated on a broad set of images and promising results are given.
Keywords :
case-based reasoning; decision making; fuzzy set theory; image representation; sensor fusion; uncertainty handling; Dempster-Shafer theory; data fusion; decisions; evidential reasoning; fuse multiple image; fuzzy feature representation; fuzzy set; hybrid fusion approach; image fusion; real scene image; spatial domain representation; Aggregates; Fuses; Fusion power generation; Fuzzy reasoning; Fuzzy set theory; Image converters; Image fusion; Image generation; Monitoring; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
Print_ISBN :
0-7803-7810-5
Type :
conf
DOI :
10.1109/FUZZ.2003.1206561
Filename :
1206561
Link To Document :
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