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http://dx.doi.org/10.3745/KIPSTB.2011.18B.3.131

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

Lee, Myung-Eun (전남대학교 전자컴퓨터공학부)
Cho, Wan-Hyun (전남대학교 통계학과)
Kim, Sun-Worl (전남대학교 통계학과)
Chen, Yan-Juan (전남대학교 전자컴퓨터공학부)
Kim, Soo-Hyung (전남대학교 전자컴퓨터공학부)
Publication Information
The KIPS Transactions:PartB / v.18B, no.3, 2011 , pp. 131-138 More about this Journal
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.
Keywords
Volumetric Medical Image Segmentation; Geometric Active Surface Model; Level Set Method; Gradient Vector Flow; Pixel Intensity Distribution;
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