A two-step method for preprocessing volume data

被引：0
|
作者：
Cheng, B [1 ]
Wang, Y
Zheng, NN
Bian, ZZ
Zhang, YP
机构：
[1] Xian Jiaotong Univ, Artificial Intelligence & Robot Inst, Xian 710049, Peoples R China
[2] Xian Jiaotong Univ, Dept Biomed Engn, Xian 710049, Peoples R China
[3] Xian Jiaotong Univ, Hosp 1, Med Expt Ctr, Xian 710049, Peoples R China
来源：
COMPUTER VISION AND IMAGE UNDERSTANDING | 2004年 / 95卷 / 02期
基金：
中国国家自然科学基金;
关键词：
IDT; segmentation; noise reduction; level sets; volume data; visualization;
D O I：
10.1016/j.cviu.2004.03.003
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A method to preprocess volume data for rendering and analyzing is proposed here. We segment the data by constructing a threshold super-surface, which is sensitive to noise. So first we reduce the noise using level sets. The data is decomposed into upper level sets and lower level sets, and the small connected components of each level set are removed. In the second step, the segmentation problem is modeled as a partial difference equation (PDE). The super-surface is obtained by solving this PDE. Finally, the performance of our method is demonstrated with an experiment. (C) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码：150 / 164
页数：15
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