Registration of image cubes using multivariate mutual information

被引：0
|
作者：
Kern, JP [1 ]
Pattichis, M [1 ]
Stearns, SD [1 ]
机构：
[1] Sandia Natl Labs, Albuquerque, NM 87185 USA
来源：
CONFERENCE RECORD OF THE THIRTY-SEVENTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2 | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new method for simultaneously registering a collection of multispectral or hyperspectral images (spectral image cubes) using mutual information is presented. In this paper, we derive a new algorithm based on mutual optimization between pairs of images and extend it to any finite number of images. We present results on the convergence and stability of the new algorithm, showing that the algorithm registers each image to a weighted average of its alignment with every other image. This method has application to other multi-image applications as well.
引用
收藏
页码：1645 / 1649
页数：5
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