Segmentation of Ultrasonic Images Based on Modified Chan-Vese algorithm

DOI

10.2991/emim-16.2016.147How to use a DOI?

Keywords

Ultrasonic image segmentation; Chan-Vese model; Level set method; Image process

Abstract

The primary ultrasonic image segmentation goal is to partition a given ultrasonic image into different regions representing anatomical structures. Ultrasonic image segmentation is very important because the accurate representation of object and background ?uid provides a way to identify many disease. In this paper, a modified Chan-Vese model is proposed for image segmentation, which is based on the similarity between each point and center point in the neighborhood. This model can capture the details of local region to realize the image segmentation in gray-level heterogeneous area. Experimental results show that this method can segment the ultrasonic image with high accuracy, adapt ability and more stable performance compared with the traditional Chan-Vese model.

Copyright

© 2016, 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  - Liqun Wang
AU  - Honghui Fan
PY  - 2016/04
DA  - 2016/04
TI  - Segmentation of Ultrasonic Images Based on Modified Chan-Vese algorithm
BT  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 710
EP  - 714
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.147
DO  - 10.2991/emim-16.2016.147
ID  - Wang2016/04
ER  -