Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)

Ultrasound Image Segmentation Based On Probability Distance and Maximum Likelihood

Authors
Bo Liu1, H. D. Cheng, Jianghua Huang, Jiafeng Liu, Tang Xianglong
1Harbin Institute of Technology
Corresponding Author
Bo Liu
Available Online December 2008.
DOI
10.2991/jcis.2008.32How to use a DOI?
Keywords
active contour, level set, image segmentation, ultrasound, probability distance
Abstract

In this paper, a novel geometric active contour model for segmenting ultrasound image is presented. A partial differential equation is designed to minimize the dif-ference between the actual and the esti-mated intensity probability distributions of the image regions. The Rayleigh dis-tribution and maximum likelihood method are applied for the estimation of the intensity distributions of the regions. The approximation of the flow is based on finite difference with a non re-initialization strategy. The experimental results demonstrate that the proposed ap-proach can segment images accurately and effectively.

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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Volume Title
Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
Series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
10.2991/jcis.2008.32
ISSN
1951-6851
DOI
10.2991/jcis.2008.32How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Bo Liu
AU  - H. D. Cheng
AU  - Jianghua Huang
AU  - Jiafeng Liu
AU  - Tang Xianglong
PY  - 2008/12
DA  - 2008/12
TI  - Ultrasound Image Segmentation Based On Probability Distance and Maximum Likelihood
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 182
EP  - 187
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.32
DO  - 10.2991/jcis.2008.32
ID  - Liu2008/12
ER  -