Medical Image Registration Based Low-pass Filters and Mutual Information

被引：0
|
作者：
Chen, Xian Yi [1 ]
Zhou, Kai Li [1 ]
机构：
[1] Hainan Univ, Coll Appl Sci & Technol, Haikou 571101, Peoples R China
来源：
PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION (ICMS2009), VOL 2 | 2009年
关键词：
Image Registration; Interpolation; Low-pass Filters; Optimization Methods; MAXIMIZATION;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The key for medical image registration based on mutual information is how to solve the problem of local extremum for MI function. The reasons that local extremum produced with interpolation and optimization algorithm are analyzed first. Then a new method of using low-pass filter preprocessing based on Gaussian Low-pass Filters is presented to decrease the number of local extremum. The experiment results show that the curve of MI function is smooth and local extremum are eliminated to a great extent by using low-pass filter preprocessing.
引用
收藏
页码：86 / 89
页数：4
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