Ultrasonic liver image denoising based on a hybrid threshold method

DOI

10.2991/peee-15.2015.37How to use a DOI?

Keywords

Ultrasonic liver image, The hybrid threshold function, Denoising, Wavelet transform.

Abstract

The objective of this paper is to investigate a hybrid threshold denoising algorithm based on wavelet transform for the ultrasonic liver image. A novel hybrid threshold function first is discussed. The hybrid threshold denoising algorithm based on the wavelet transform is then performed for ultrasound image of the liver. Only is one parameter selected in the proposed image denoising algorithm. Several metrics such as correlation coefficient (CoC), edge preservation index (EPI), and structural similarity index (SSI) are measured to quantify the denoised results of ultrasound liver image. Experiments show that the wavelet-based hybrid threshold denoising algorithm is effective and feasible.

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  - H.J. Zhu
AU  - L. Rao
PY  - 2015/04
DA  - 2015/04
TI  - Ultrasonic liver image denoising based on a hybrid threshold method
BT  - Proceedings of the 2015 International Conference on Power Electronics and Energy Engineering
PB  - Atlantis Press
SP  - 139
EP  - 142
SN  - 2352-5401
UR  - https://doi.org/10.2991/peee-15.2015.37
DO  - 10.2991/peee-15.2015.37
ID  - Zhu2015/04
ER  -