摘要
基于互信息方法的医学配准容易出现局部极值现象,导致准确率下降。为此,提出一种基于加权互信息的多模图像配准算法。通过全局滤波和边缘提取进行图像预处理,突出图像特征,采用加权互信息方法实现配准。实验结果表明,该算法能够提高多模图像配准的准确率,加快匹配速度。
In medical image registration based on Mutual Information（MI） method, it exists the problem about the local extrema. Aiming at this problem, this paper proposes a multi-modality image registration algorithm based on Weighted Mutual Information（WMI）. Through the preprocessing procedure by global filtering and edge extraction, it extrudes the image features, and uses WMI method to realize registration. Experimental result shows that this algorithm can improve the accuracy and the speed in mulit-modality image registration.
出处
《计算机工程》
CAS
CSCD
2012年第16期207-211,共5页
Computer Engineering
关键词
医学图像配准
局部体积插值
局部极值
加权互信息
预处理
medical image registration
local volume interpolation
local extrema
Weighted Mutual Information（WMI）
preprocessing
