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Medical Image Fusion Using Non-subsampled Shearlet Transform and Improved PCNN

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Intelligence Science and Big Data Engineering (IScIDE 2018)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11266))

Abstract

Image fusion is an effective method to increase the accuracy of clinical diagnosis, since it can combine the advantages of a series of diverse medical images. In this paper, a novel image fusion method based on non-subsampled shearlet transform (NSST) and improved pulse coupled neural network (PCNN) is proposed. As an efficient multi-resolution analysis tool, NSST is used to obtain a series of sub-bands with different scales and directions. Then, the traditional PCNN is improved to be a novel model with much less parameters. Certain fusion rules are utilized to complete the fusion process of sub-bands. Finally, the inverse NSST is conducted to obtain the final fused image. Experimental results demonstrate that the proposed method has much better performance than those typical ones.

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Acknowledgments

The authors thank all the reviewers and editors for their valuable comments and works. The work was supported in part by Foundation of Science and Technology on Information Assurance Laboratory under Grant KJ-17-105, in part by the Natural Science Foundation of Shannxi Provincial Department of Education under Grant 16JK2246, and the Foundation of Xijing University under Grant XJ16T03. I declare that the author has no conflicts of interest to this work.

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Authors and Affiliations

  1. Xijing University, Xi’an, 710123, China

    Weiwei Kong

  2. Key Laboratory of Information Assurance Technology, Beijing, 100072, China

    Jing Ma

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  1. Weiwei Kong
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  2. Jing Ma
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Corresponding author

Correspondence to Weiwei Kong .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Yuxin Peng

  2. Shanghai Jiao Tong University, Shanghai, China

    Kai Yu

  3. Tsinghua University, Beijing, China

    Jiwen Lu

  4. Central China Normal University, Wuhan, China

    Xingpeng Jiang

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Kong, W., Ma, J. (2018). Medical Image Fusion Using Non-subsampled Shearlet Transform and Improved PCNN. In: Peng, Y., Yu, K., Lu, J., Jiang, X. (eds) Intelligence Science and Big Data Engineering. IScIDE 2018. Lecture Notes in Computer Science(), vol 11266. Springer, Cham. https://doi.org/10.1007/978-3-030-02698-1_55

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  • DOI: https://doi.org/10.1007/978-3-030-02698-1_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02697-4

  • Online ISBN: 978-3-030-02698-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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