基于互信息量的医学图像拼合算法  

Algorithm for Medical Image Patching Based on Mutual Information

作　　者：王丽宽[1] 胡绍海[1] 王焰[2] 

机构地区：[1]北京交通大学计算机与信息技术学院,北京100044 [2]华北电力调度局,北京100053

出　　处：《北方交通大学学报》2004年第2期38-40,45,共4页Journal of Northern Jiaotong University

基　　金：北京交通大学"十五"重点基金项目资助(2002Z004)

摘　　要：研究了基于互信息量的图像拼合方法,对现有的概率分布估计方法及搜索策略进行了比较,并提出用梯度二值化图像互相关配准做预处理方法,并就融合后图像的显示问题提出一种基于边界法向插值的新方法.应用这些方法拼合实际XA医学图像,实现序列下肢步进图像的准确拼合.This paper looks further at the method of medical image patching based on mutual information. We have compared the methods of density estimation with the searching strategy of image registration. At the same time, a new way of image preprocessing based on grads information has been used as well as a novel display method, which introduced directions of the edge curve into image interpolation. A good patching result has been made in our scheme.

关 键 词：图像拼合 图像配准 互信息量 图像熵 

分 类 号：TP371.41[自动化与计算机技术—计算机系统结构]