Share Email Print
cover

Proceedings Paper

A level set x-ray image segmentation method with local region information
Author(s): Wei Zheng; Yanjiang Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Because x-ray image has low contrast resolution and edge sharpness, this paper presents a novel medical image segmentation base on level set. The traditional Chan-Vese model base on simplify Mumford-Shah model can not segment images with intensity inhomogeneity. We structure energy function in one point's local region; partial differential equations (PDEs) of curve evolution are obtained by minimization of the energy functional. We can obtain global minimum when we expand it to the whole image. Our model can be used to segment images with intensity inhomogeneity. Experimental results verify the effectives and robustness of this segmentation method.

Paper Details

Date Published: 30 October 2009
PDF: 5 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74972S (30 October 2009); doi: 10.1117/12.832486
Show Author Affiliations
Wei Zheng, Hebei Univ. (China)
Yanjiang Chen, Hebei Univ. (China)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top