基于内容的医学图像小波融合算法  

Medical Image Fusion Method Based on Content and Wavelet Transform

作　　者：林雯[1] 

机构地区：[1]福建江夏学院电子信息科学学院,福建福州350108

出　　处：《长江大学学报（自科版）（上旬）》2014年第10期30-34,4,共5页JOURNAL OF YANGTZE UNIVERSITY (NATURAL SCIENCE EDITION) SCI ＆ ENG

基　　金：福建省教育厅科技项目(JA14324);福建江夏学院青年项目(2012C029)

摘　　要：针对CT和MR医学图像的融合增强问题,基于小波变换方法,引入边缘检测和二值化处理的思想,对小波变换的融合规则进行改进,即在低频子带融合规则中引入边缘检测图像以保护图像轮廓信息,在高频子带融合规则中引入二值化图像以保护图像的细节信息。数值试验结果表明,该算法能在融合图像中较好地保留边缘和细节信息,使得合成图像更加清晰完整。In consideration of the CT and MR medical image fusion and enhancement,edge detection and binary image are used to improve the fusion rules based on wavelet transform,that means edge detection image is used in the fusion rules of low-frequency sub-band to protect the information of contour and binary image is used in the fusion rules of highfrequency sub-band to protect the information of details.The experiment results show that the algorithm can retain the fusion image's edges and details to make it more clear and complete.

关 键 词：边缘检测 二值化 小波变换 图像融合 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]