Research on Segmentation Methods of Brain using MRI Images

摘要：

This article makes a comparison between MRI image clenoising methods. Self adaptation wiener filtering method is adopted as per image characteristics, and operations of grey. lecl value technology and mathematical morphology are adopted to obtain head data. Regarding the segmentation of brain, the article raises a brain inspection method by constructing self adaptation template as per brain image characteristics and the geometric structure similarity between neighboring images.

关键词： MRI Images Segmentation Brain

作者: Yuehua Wang Yili Fu

作者单位: School of Mechatronics Engineering, Harbin institute of Technology,Harbin, China Department of Neur School of Mechatronics Engineering, Harbin institute of Technology,Harbin, China

会议类型: 国际会议

会议名称: 2011 International Conference on Bioinformatics and Computational Biology(ICBCB 2011)(2011年生物信息学与计算生物学国际会议)

会议地点: 海口

会议语种:英文

页码: 165-168

在线出版日期: 2011-02-22（万方平台首次上网日期，不代表论文的发表时间）