GVF-Snake Based method for liver region segmentation

被引：0
|
作者：
Huang, Linlin [1 ]
Gui, Tianyi [2 ]
机构：
[1] Beihang Univ, Inst Automat Sci & Elect Engn, Beijing 100083, Peoples R China
[2] Fujitsu R&D Ctr Co Ltd, Beijing 10025, Peoples R China
来源：
PROCEEDINGS OF THE 2008 CHINESE CONFERENCE ON PATTERN RECOGNITION (CCPR 2008) | 2008年
关键词：
GVF-snake; liver; segmentation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we present a GVF-Snake based method for liver region segmentation on CT images. Firstly, the CT images are enhanced using a method of histogram equalization and anisotropic diffusion filter. Then, a region based method is applied to complement rough segmentation. Finally, an improved generalized gradient vector flow snake model (GVF-Snake) is adopted for the refinement of the rough segmentation. Experiment results show that the proposed method can precisely extract the liver region..
引用
收藏
页码：375 / +
页数：2
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