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Proceedings Paper

Image fusion method based on intuitionistic fuzzy clustering
Author(s): Zhihui Wang; Yong Tie; Shuhua Li
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Paper Abstract

A new image fusion method based on intuitionistic fuzzy clustering is proposed in this paper. In this method, two multisource images are decomposed firstly by multiwavelet filter groups. Secondly, intuitionistic fuzzy similarity is used to cluster the decomposing sub-images respectively. Thirdly, decomposition coefficients of fused image are formed according to the clustering results. The experimental results show that there is a noticeable improvement in the information and visual quality of the fused images.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74954K (30 October 2009); doi: 10.1117/12.831064
Show Author Affiliations
Zhihui Wang, Inner Mongolia Univ. (China)
Yong Tie, Inner Mongolia Univ. (China)
Shuhua Li, Inner Mongolia Univ. (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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