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CLC number: TP302.4

On-line Access: 2020-06-12

Received: 2019-12-28

Revision Accepted: 2020-02-15

Crosschecked: 2020-03-26

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Citations:  Bibtex RefMan EndNote GB/T7714


Xue-feng Zhang


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Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.6 P.834-843


Multi-focus image fusion based on fractional-order derivative and intuitionistic fuzzy sets

Author(s):  Xue-feng Zhang, Hui Yan, Hao He

Affiliation(s):  School of Sciences, Northeastern University, Shenyang 110819, China

Corresponding email(s):   zhangxuefeng@mail.neu.edu.cn

Key Words:  Image fusion, Fractional-order derivative, Intuitionistic fuzzy sets, Multi-focus images

Xue-feng Zhang, Hui Yan, Hao He. Multi-focus image fusion based on fractional-order derivative and intuitionistic fuzzy sets[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(6): 834-843.

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%A Hui Yan
%A Hao He
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1900737

T1 - Multi-focus image fusion based on fractional-order derivative and intuitionistic fuzzy sets
A1 - Xue-feng Zhang
A1 - Hui Yan
A1 - Hao He
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 21
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1900737

Multi-focus image fusion is an increasingly important component in image fusion, and it plays a key role in imaging. In this paper, we put forward a novel multi-focus image fusion method which employs fractional-order derivative and intuitionistic fuzzy sets. The original image is decomposed into a base layer and a detail layer. Furthermore, a new fractional-order spatial frequency is built to reflect the clarity of the image. The fractional-order spatial frequency is used as a rule for detail layers fusion, and intuitionistic fuzzy sets are introduced to fuse base layers. Experimental results demonstrate that the proposed fusion method outperforms the state-of-the-art methods for multi-focus image fusion.





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