首页 | 本学科首页   官方微博 | 高级检索  
     

多项式展开的快速扩散张量图像配准
引用本文:韦芳芳,张相芬,陈 辰. 多项式展开的快速扩散张量图像配准[J]. 上海师范大学学报(自然科学版), 2012, 41(4): 364-368
作者姓名:韦芳芳  张相芬  陈 辰
作者单位:上海师范大学信息与机电工程学院,上海,200234
基金项目:上海市科委资助项目(11S10502400);上海师大校级资助项目(SK201220)
摘    要:提出一种基于多项式展开的扩散张量图像快速配准方法.采用拉普拉斯算子提取经图像增强处理的各向异性测度图像的边缘特征点,给出一种图像变换模型,利用边缘特征点来定义图像的特征,并以此校正图像的方向.利用基于多项式展开的配准模型,对已经经过方向校正的各向异性测度图像进行全局像素点稠密配准.实验结果表明该方法有效地提高了配准效率和配准精度.

关 键 词:多项式展开  扩散张量图像  边缘特征点  配准
收稿时间:2012-03-31

Fast registration of diffusion tensor image based on polynomial expansion
WEI Fangfang,ZHANG Xiangfen and CHEN Chen. Fast registration of diffusion tensor image based on polynomial expansion[J]. Journal of Shanghai Normal University(Natural Sciences), 2012, 41(4): 364-368
Authors:WEI Fangfang  ZHANG Xiangfen  CHEN Chen
Affiliation:(College of Information,Mechanical and Electrical Engineering,Shanghai Normal University,Shanghai 200234,China)
Abstract:An improved fast registration algorithm of diffusion tensor images is proposed based on polynomial expansion.The edge feature points of an enhanced image of anisotropy measure are extracted by Laplacian operator.An image transformation model is given,in which the characteristics of the image are defined by the edge feature points and the direction of the tensor image is corrected therewith.By use of the registration model based on polynomial expansion,a global dense registration of pixel points is done for the image of anisotropy measure,the direction of which has already been corrected.The experimental results show that the method can effectively improve the registration efficiency and registration accuracy.
Keywords:polynomial expansion  diffusion tensor image  edge feature points  registration
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《上海师范大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《上海师范大学学报(自然科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号