Ultrasound Image Segmentation Based On Probability Distance and Maximum Likelihood

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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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  -