作者
William Scott Hoge, C-F Westin
发表日期
2005/6/13
期刊
IEEE Transactions on Image Processing
卷号
14
期号
7
页码范围
884-889
出版商
IEEE
简介
This paper presents an extension of the phase correlation image alignment method to N-dimensional data sets. By the Fourier shift theorem, the motion model for translational shifts between N-dimensional images can be represented as a rank-one tensor. Through use of a high-order singular value decomposition, the phase correlation between two N-dimensional data sets can be decomposed to independently identify translational displacements along each dimension with subpixel resolution. Using three-dimensional MRI data sets, we demonstrate the effectiveness of this approach relative to other N-dimensional image registration methods.
引用总数
学术搜索中的文章
WS Hoge, CF Westin - IEEE Transactions on Image Processing, 2005