The level set method for medical image segmentation with a new regularization

摘要：

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.

关键词： Level set method Gaussian kernel regularization ILBF Image segmentation

作者: Zheng wei Sun chun ye Wang fang Li min

作者单位: College of Electronic and Information Engineering, Hebei University, Baoding, China

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 99-102

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）