Ultrasound Image Segmentation Based On Probability Distance and Maximum Likelihood
Bo Liu1, H. D. Cheng, Jianghua Huang, Jiafeng Liu, Tang Xianglong
1Harbin Institute of Technology
Available Online December 2008.
- 10.2991/jcis.2008.32How to use a DOI?
- active contour, level set, image segmentation, ultrasound, probability distance
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.
- © 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 -