一种快速有效的医学图像灰度插值算法  

A Fast and Effective Gray Level Interpolation of Medical Images

作　　者：邹晖[1] 孟晋宇[1] 舒华忠[1] 罗立民[1] 

机构地区：[1]东南大学生物医学工程系,江苏南京210096

出　　处：《生物医学工程研究》2003年第4期8-11,共4页Journal Of Biomedical Engineering Research

摘　　要：介绍一种用于快速有效的医学图像灰度插值算法。通过在两幅已知图像上寻找对应点 ,有效地解决了线性插值边界模糊的问题 ,同时避免了基于形状的插值算法中图像分割的问题 ,具有较强的适用范围。A fast and effectire gray-level interpolation method is introduced. Via finding corresponding points in both original images, it effectively resolve the problem of fuzzy boundary that is caused by linear interpolation. At the same time, it avoid image segmentation that is used in shape-based interpolation. The results show this method is effective.

关 键 词：医学图像 灰度插值算法 线性插值 样条插值 三维重建 形状插值 

分 类 号：R814.42[医药卫生—影像医学与核医学] R318[医药卫生—放射医学]