Image fusion method based on intuitionistic fuzzy clustering

Zhihui Wang; Yong Tie; Shuhua Li

doi:10.1117/12.831064

30 October 2009 Image fusion method based on intuitionistic fuzzy clustering

Zhihui Wang, Yong Tie, Shuhua Li

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74954K (2009) https://doi.org/10.1117/12.831064
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Zhihui Wang, Yong Tie, and Shuhua Li "Image fusion method based on intuitionistic fuzzy clustering", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74954K (30 October 2009); https://doi.org/10.1117/12.831064

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