基于小波系数区域相似度的医学图像融合  

Medical image fusion based on regional similarity of wavelet coefficients

作　　者：黄彩霞[1] 陈家新[2] 

机构地区：[1]河南科技大学电子信息工程学院,河南洛阳471039 [2]北京理工大学计算机科学与技术学院,北京100081

出　　处：《计算机应用研究》2008年第1期274-276,共3页Application Research of Computers

基　　金：国家自然科学基金(60475021);河南省科技厅自然科学基金(0411010200)

摘　　要：根据小波变换原理,给出了一种基于小波系数区域相似度的医学图像融合方法。首先,以图像小波变换系数的区域均值、方差、协方差统计参量构造匹配度和加权因子,对高频子图进行区域融合;然后,在低频部分采用绝对值取大的规则,进行图像融合;最后经过小波逆变换得到融合图像。实验证明,该方法得到的融合图像具有良好的视觉效果和量化指标,体现出更强的融合性能。Based on expatiate wavelet transform principle, a fusion method based on regional similarity of wavelet coefficients was proposed. The regional similarity was defined by means of mean, variance and covariance of decomposition coefficients, the matching degree and adding coefficient could be gained, and then the fusion calculation of high frequency sub-image could be completed. For low frequency sub-image, abstract coefficient was adopted. Finally the fusion image was obtained by taking inverse wavelet transform. The experimental results show this fusion scheme can fuse details of input images successfully, and it can perfectly display information of the each input image, therefore using this image fusion method can get more satisfactory result than using others.

关 键 词：小波变换 图像融合 区域相似度 融合规则 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]