Image Registration using the Shearlet Transform

被引：1
|
作者：
Easley, Glenn R. [1 ]
Barbu-McInnis, Monica [1 ]
Labate, Demetrio [2 ]
机构：
[1] MITRE, Mclean, VA 22102 USA
[2] Univ Houston, Dept Math, Houston, TX 77004 USA
来源：
WAVELETS AND SPARSITY XVI | 2015年 / 9597卷
关键词：
shearlets; wavelets; image registration; feature detection; feature matching; REPRESENTATIONS; FRAMES;
D O I：
10.1117/12.2188816
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
In this paper, we present an algorithm for image registration utilizing the shearlet representation. The shearlet framework allows one to collect multi-scale and multi-directional feature information from multidimensional data that can be used to create key feature vectors that are scale, rotation, and shift invariant. These key feature vectors produce a transformation that will align the sensed image to the source image. We demonstrate our registration algorithm on various medical databases.
引用
收藏
页数：11
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