基于提升格式小波变换的医学图像融合技术  

New technique research of medical image fusion based on lifting scheme wavelet transform

作　　者：董卫军[1] 樊养余[1] 周明全[2] 

机构地区：[1]西北工业大学电子信息学院,西安710072 [2]西北大学信息科学与技术学院,西安710069

出　　处：《计算机工程与应用》2008年第13期185-187,共3页Computer Engineering and Applications

基　　金：国家自然科学基金(the National Natural Science Foundation of China under Grant No.60573179);陕西省科技计划工业科技攻关项目(No.2004k05-G24)

摘　　要：图像融和是对取自不同时间、不同传感器或不同视角的同一场景的两幅图像或者多幅图像进行信息融合的过程,主要用于消除来自不同传感器图像中目标的位置差异。在分析常见算法的基础上,提出了一种新医学图像融合算法,新算法以提升格式小波变换为基础,利用图像多级小波分解后近似分量的轮廓相似性进行图像的快速融合。实验结果表明,新方法高效精确。Image fusion is the process of matching two or more images that from the same scene derived which from different time,different sensors or different views of angle,mainly used to eliminate the variation of position of targets from different sensor images.Give a new medical image fusion algorithm which in the basis of researching some basic algorithms.The new mage fusion algorithm is based on lifting scheme wavelet transform.Decomposed wavelet components of the original images are used to impose the speed of image fusion.Experiment results show that the algorithm is effective and accuracy.

关 键 词：波变换 图像融合 提升格式 不变矩 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]