Automatic region growing algorithm for the visible human dataset

被引：0
|
作者：
Jones, FS [1 ]
Arabnia, H [1 ]
机构：
[1] Univ Georgia, Dept Comp Sci, Athens 30609, Greece
来源：
CISST'03: PROCEEDING OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS AND TECHNOLOGY, VOLS 1 AND 2 | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The National Library of Medicine's Visible Human Project is a digital image library containing full color anatomical, CT and MR images representing a complete, normal, adult male and female. Segmentation of the Visible Human datasets offer many additions to the original goal of a three-dimensional representation of a computer generated anatomical model of the human body. This paper presents an automatic segmentation algorithm based on seeded region growing. The technique repeatedly extracts anatomical regions of interest from two-dimensional (2D) cross section images to create three-dimensional (3D) visualizations of these anatomical areas. Results of this technique are also presented.
引用
收藏
页码：665 / 672
页数：8
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