11th Joint International Conference on Information Sciences

A Novel Approach to Speckle Reduction to Ultrasound Image

Authors
Yanhui Guo 0, H.D. Cheng, Jiawei Tian, Yingtao Zhang
Corresponding Author
Yanhui Guo
0School of Computer Science and technology
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.38How to use a DOI?
Keywords
Speckle reduction, Homogeneity, 2D homogeneity histogram, Directional average filter, Ultrasound image.
Abstract
Speckle noise is inherent in ultrasound images, and it generally tends to reduce the resolution and contrast, thereby,to degrade the diagnostic accuracy of this modality. Speckle reduction is very im-portant and critical for ultrasound imag-ing. In this paper, we propose a novel ap-proach for speckle reduction using two-dimensional (2D) homogeneity and direc-tional average filters. We have conducted experiments on numerous artificial im-ages, clinic breast ultrasound images and vascular images. The experimental results are compared with that of other methods and the performance is evaluated using several metrics, and they demonstrate that the proposed approach can reduce the speckle noise effectively without blurring the edges and damaging the textual in-formation. It will be useful for computer aided diagnosis (CAD) systems using ul-trasound images.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
11th Joint International Conference on Information Sciences
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.38How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yanhui Guo
AU  - H.D. Cheng
AU  - Jiawei Tian
AU  - Yingtao Zhang
PY  - 2008/12
DA  - 2008/12
TI  - A Novel Approach to Speckle Reduction to Ultrasound Image
BT  - 11th Joint International Conference on Information Sciences
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.38
DO  - https://doi.org/10.2991/jcis.2008.38
ID  - Guo2008/12
ER  -