Medical Images Fusion Based on Different Frequency band Selection Schemes

DOI

10.2991/iccmcee-15.2015.255How to use a DOI?

Keywords

Image fusion, PLIP model, curvelet transform, sub-band selection scheme

Abstract

A novel curvelet-based sub-band selection approach for medical image fusion is presented in this paper using the Parameterized Logarithmic Image Processing (PLIP) model. Both MRA and MRI image have different features, in this paper we use the different frequency band selection fusion rules yield novel fusion schemes for combining the coefficients, and fused MRA and MRI images to form a single image with as much information as possible. The experiments show that the proposed method is effective and can get satisfactory fusion results.

Copyright

© 2015, 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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TY  - CONF
AU  - ShuangFang Yu
AU  - Ying Wang
AU  - Wenbing Fan
PY  - 2015/11
DA  - 2015/11
TI  - Medical Images Fusion Based on Different Frequency band Selection Schemes
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 1361
EP  - 1364
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.255
DO  - 10.2991/iccmcee-15.2015.255
ID  - Yu2015/11
ER  -