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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2020 Vol.21 No.6 P.834-843
Multi-focus image fusion based on fractional-order derivative and intuitionistic fuzzy sets
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.
Key words: Image fusion, Fractional-order derivative, Intuitionistic fuzzy sets, Multi-focus images
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。
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DOI:
10.1631/FITEE.1900737
CLC number:
TP302.4
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On-line Access:
2020-06-12
Received:
2019-12-28
Revision Accepted:
2020-02-15
Crosschecked:
2020-03-26