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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

Cited: 0

Clicked: 410

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Xue-feng Zhang

https://orcid.org/0000-0002-2831-5747

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

http://doi.org/10.1631/FITEE.1900737


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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Abstract: 
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.

基于分数阶导数和直觉模糊集的多聚焦图像融合

张雪峰,闫慧,何昊
东北大学理学院,中国沈阳市,110819

摘要:多聚焦图像融合在图像融合中日益重要,在图像处理中扮演着关键角色。本文提出一种基于分数阶导数和直觉模糊集的多聚焦图像融合方法。其将原始图像分解为基础层和细节层,建立一个新的分数阶空间频率来反映图像清晰度。采用分数阶空间频率作为细节层融合准则,并引入直觉模糊集对基础层进行融合。实验结果表明,该方法在多聚焦图像融合方面优于已有先进方法。

关键词:图像融合;分数阶导数;直觉模糊集;多聚焦图像

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