The level set method for medical image segmentation with a new regularization
Wei Zheng, Chunye Sun, Wang Fang, Min Li · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
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.