8 July 2011 The level set method for medical image segmentation with a new regularization
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Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80090J (2011) https://doi.org/10.1117/12.896077
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China
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.
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Wei Zheng, Chunye Sun, Fang Wang, Min Li, "The level set method for medical image segmentation with a new regularization", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80090J (8 July 2011); doi: 10.1117/12.896077; https://doi.org/10.1117/12.896077
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