Brain Image Segmentation Combining Local and Global Information Based on Two-phase Active Contour Model
Wang Hai-ju · Journal of Binzhou University · 2013
To solve the intensity inhomogeneity in the segmentation of magnetic resonance(MR)images,this paper presents a new two-phase level set model for segmentation of brain MR images.The proposed model is based on local image entropy and utilizes local gaussian image information and global image information.A kind of simple and useful method is used for initialization to segment white matter(WM),gray matter(GM)and cerebrospinal fluid(CSF).The results show that the proposed method can effectively segment WM,GM,and CSF and simultaneously provide a smooth contour.The intensity inhomogeneity problems can be solved that can not be overcome by the CV model.