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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
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Multi-focus image fusion based on fractional-order derivative and intuitionistic fuzzy sets
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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.
@article{title="Multi-focus image fusion based on fractional-order derivative and intuitionistic fuzzy sets",
author="Xue-feng Zhang, Hui Yan, Hao He",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="21",
number="6",
pages="834-843",
year="2020",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1900737"
}
%0 Journal Article
%T Multi-focus image fusion based on fractional-order derivative and intuitionistic fuzzy sets
%A Xue-feng Zhang
%A Hui Yan
%A Hao He
%J Frontiers of Information Technology & Electronic Engineering
%V 21
%N 6
%P 834-843
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%D 2020
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1900737
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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
IS - 6
SP - 834
EP - 843
%@ 2095-9184
Y1 - 2020
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1900737
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.
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