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Proceedings Paper

The level set method for medical image segmentation with a new regularization
Author(s): Wei Zheng; Chunye Sun; Fang Wang; Min Li
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Paper Abstract

The local area information level set method is applied to segment the medical images with intensity inhomogeneous and a new kind of Gaussian kernel regularization method is used to simplify operation, this regularization can not only ensure the smoothness of the level set function, but also eliminate the requirement of re-initialization. This method which we call Improved Local Binary Fitting method (ILBF) has a shorter time consuming compared with the LBF method, so it can be widely used in medical image segmentation with its high efficiency and accuracy.

Paper Details

Date Published: 8 July 2011
PDF: 4 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80090J (8 July 2011); doi: 10.1117/12.896077
Show Author Affiliations
Wei Zheng, Hebei Univ. (China)
Chunye Sun, Hebei Univ. (China)
Fang Wang, Hebei Univ. (China)
Min Li, Hebei Univ. (China)

Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

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