Performance Comparison Between New Level Set Method and Previous Methods for Volume Images Segmentation


KIPS Transactions on Software and Data Engineering, Vol. 18, No. 3, pp. 131-138, Mar. 2011
10.3745/KIPSTB.2011.18.3.131, Full Text:

Abstract

In this paper, we compare our proposed method with previous methods for the volumetric image segmentation using level set. In order to obtain an exact segmentation, the region and boundary information of image object are used in our proposed speed function. The boundary information is defined by the gradient vector flow obtained from the gradient images and the region information is defined by Gaussian distribution information of pixel intensity in a region-of-interest for image segmentation. Also the regular term is used to remove the noise around surface. We show various experimental results of real medical volume images to verify the superiority of proposed method.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
M. E. Lee, W. H. Cho, S. W. Kim, Y. J. Chen and S. H. Kim, "Performance Comparison Between New Level Set Method and Previous Methods for Volume Images Segmentation," KIPS Journal B (2001 ~ 2012) , vol. 18, no. 3, pp. 131-138, 2011. DOI: 10.3745/KIPSTB.2011.18.3.131.

[ACM Style]
Myung Eun Lee, Wan Hyun Cho, Sun Worl Kim, Yan Juan Chen, and Soo Hyung Kim. 2011. Performance Comparison Between New Level Set Method and Previous Methods for Volume Images Segmentation. KIPS Journal B (2001 ~ 2012) , 18, 3, (2011), 131-138. DOI: 10.3745/KIPSTB.2011.18.3.131.