Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

Multimodal Image Fusion for Brain Image Based on Nonsubsampled Shearlets Transform

Authors
Na Zhang, Peiguang Wang
Corresponding Author
Na Zhang
Available Online May 2018.
DOI
10.2991/ncce-18.2018.12How to use a DOI?
Keywords
Medical Image Fusion; Nonsubsampled Shear Let’s Transform; HIS Transform.
Abstract

Multi-modal medical image fusion has been emerging as a new and promising research area due to the increasing demands in clinical application. A novel fusion rule for medical brain image fusion is proposed in this paper based on the Nonsubsampled Shearlets Transform (NSST). The functional image is converted into HIS color space for bettered-correlation of intensity channel from chromatic channels. The high frequency sub-bands are fused by using fusion rule based on edge feature measurement. The low frequency sub-bands are combined by using fusion rule based on information and clarity measurement. The performance of the proposed fusion method is assessed by experiment, and the results indicate the proposed method outperforms the traditional approaches.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
Series
Advances in Intelligent Systems Research
Publication Date
May 2018
ISBN
10.2991/ncce-18.2018.12
ISSN
1951-6851
DOI
10.2991/ncce-18.2018.12How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Na Zhang
AU  - Peiguang Wang
PY  - 2018/05
DA  - 2018/05
TI  - Multimodal Image Fusion for Brain Image Based on Nonsubsampled Shearlets Transform
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 69
EP  - 74
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.12
DO  - 10.2991/ncce-18.2018.12
ID  - Zhang2018/05
ER  -