三维图像中连续隐边界曲面的逼近计算  

Surface Approximation of Continuous Implicit Boundary Surface in 3D Images

作　　者：傅迎华[1,2] 程柳航[2] 王利生[2] 

机构地区：[1]上海理工大学光电信息与计算机学院,上海200093 [2]上海交通大学自动化系图像处理与模式识别研究所,上海200240

出　　处：《工程数学学报》2012年第4期579-585,共7页Chinese Journal of Engineering Mathematics

摘　　要：三维图像中感兴趣目标的边界曲面的检测与重构是三维图像分析中的一个重要问题.本文提出了从三维图像中计算连续隐边界曲面离散采样点的新方法.基于这些计算得到的离散采样点及其灰度值,可以推导出更合适的等值面或者自适应曲面去近似表示三维图像中的连续隐边界曲面.Detecting and reconstructing continuous boundary surface of the object of interest in 3D images are important problems in 3D image analysis area. This paper proposes a new method to compute discrete sampling points for a continuous implicit boundary surface in a 3D image. Based on the discrete sampling points so computed and their gray values, more suitable isosurface or adaptive surface can be deduced to approximate the continuous implicit boundary surface.

关 键 词：三维图像 连续隐边界曲面 等值面 曲面逼近 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]