A Novel Approach for Segmentation of MRI Brain Images
一种基于规则的脑组织磁共振图像分割新方法

A novel method for segmentation of brain tissues in MRI (Magnetic Resonance Imaging) images is proposed in this paper.Firstly,we de-noise the images using a versatile wavelet-based filter.Subsequently,watershed algorithm is applied to brain tissues as an initial segmenting method.Normally,result of classical watershed algorithm on gray- scale textured images such as tissue images is over-segmentation.The following procedure is a merging process for the over-segmentation regions using fuzzy clustering algorithm (Fuzzy C-Means).But there are still some regions which are not divided completely,particularly in the transitional regions of gray matter and white matter,or cerebrospinal flu- id and gray matter.We proposed a rule-based re-segmentation processing approach to partition these regions based on the combination of local region continuity and global information.This integrated approach yields a robust and precise segmentation.The efficacy of the proposed algorithm is validated using extensive experiments.