Images Registration Based on Mutual Information and Nonsubsampled Contourlet Transform

被引：0
|
作者：
Tian, Dandan [1 ]
Wen, Xian-bin [1 ]
Xu, Hai-xia [1 ]
Lei, Ming [1 ]
机构：
[1] Tianjin Univ Technol, Tianjin Key Lab Intelligence Comp & Novel Softwar, Tianjin 300191, Peoples R China
来源：
ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PT II | 2011年 / 7003卷
关键词：
Mutual information; registration; nonsubsampled contourlet transform;
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：
Aiming at the problem that how to improve the accuracy of image registration, this paper presents an approach for image registration based on mutual information and non-subsampled contourlet transform. First of all, the reference image and the floating image are decomposed with nonsubsampled contourlet transform. Secondly, register approximate component of the floating image from the highest level to the lowest level based mutual information. Finally, the new image is obtained. Experimental results on remote sensing images demonstrate that the presented method can improve the accuracy.
引用
收藏
页码：304 / 311
页数：8
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