Ultrasound Speckle Reduction Based on Image Segmentation and Diffused Region Growing

DOI

10.2991/jcis.2008.58How to use a DOI?

Keywords

ultrasound, speckle noise, histogram matching, region growing

Abstract

This paper presents an adaptive speckle reduction method through diffused growing region filtering based on image segmentation. The main idea is to smooth the speckle regions adaptively and preserve the edge and tissue structure. The criterion of speckle region is defined from a similarity value obtained from histogram matching between the histogram in the processing window and a reference one derived from a speckle area. Then the whole image will be classified into five categories according to the similarity values and other tissue characteristics, followed by speckle reduction processing in diffused growing region covering the same structure categories.

Copyright

© 2008, 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  - Xiaoying Li
AU  - Dong C. Liu
PY  - 2008/12
DA  - 2008/12
TI  - Ultrasound Speckle Reduction Based on Image Segmentation and Diffused Region Growing
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 338
EP  - 344
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.58
DO  - 10.2991/jcis.2008.58
ID  - Li2008/12
ER  -