Novel image fusion methods using intuitionistic index

Zirui Wang; Zhihui Wang

doi:10.1117/12.2204875

14 December 2015 Novel image fusion methods using intuitionistic index

Zirui Wang, Zhihui Wang

Author Affiliations +

Proceedings Volume 9813, MIPPR 2015: Pattern Recognition and Computer Vision; 981309 (2015) https://doi.org/10.1117/12.2204875
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

In this paper, we present new methods for image fusion based on intuitionistic index in spatial domain and contourlet transform domain, furthermore we adopt two ways to fuse images in contourlet domain. When constructing an intuitionistic fuzzy set, we use the Gamma function to get the membership degree, and the Sugeno complementation to get the non-membership degree. Based on the information theory, the larger the hesitancy is, the more information it has. So we set up a fusion rule, by which the larger hesitancy will be chosen, to get a fused image from multi-focus images or remote sensing ones. We compare these new algorithms to some classical image fusion algorithms. The results show, for multi-focus image, these new algorithms are better comparing to other algorithms, and they can get a good fusion result, especially the contourlet transformation algorithm using the intuitionistic index. For remote sensing image, these new algorithms are not the best, but they can also get a well fusion result.

Citation Download Citation

Zirui Wang and Zhihui Wang "Novel image fusion methods using intuitionistic index", Proc. SPIE 9813, MIPPR 2015: Pattern Recognition and Computer Vision, 981309 (14 December 2015); https://doi.org/10.1117/12.2204875

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