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

doi:10.1631/FITEE.1900737

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基于分数阶导数和直觉模糊集的多聚焦图像融合

用于信息科学的分数阶积分新趋势专题 | Updated：2022-05-19

- 基于分数阶导数和直觉模糊集的多聚焦图像融合
- Multi-focus image fusion based on fractional-order derivative and intuitionistic fuzzy sets
- 信息与电子工程前沿（英文） 2020年21卷第6期页码：834-843
- Affiliations：
  
  School of Sciences, Northeastern University, Shenyang 110819, China
- Author bio：
  
  Xue-feng ZHANG, E-mail: zhangxuefeng@mail.neu.edu.cn
- Funds：
- DOI：10.1631/FITEE.1900737
  中图分类号： TP302.4
- 收稿：2019-12-28，
  
  修回：2020-;3-26，
  
  纸质出版：2020-06
- Accepted：
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张雪峰, 闫慧, 何昊. 基于分数阶导数和直觉模糊集的多聚焦图像融合[J]. 信息与电子工程前沿（英文）, 2020,21(6):834-843.

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.
张雪峰, 闫慧, 何昊. 基于分数阶导数和直觉模糊集的多聚焦图像融合[J]. 信息与电子工程前沿（英文）, 2020,21(6):834-843. DOI： 10.1631/FITEE.1900737.

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. DOI： 10.1631/FITEE.1900737.

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。

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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