The liver CT image sequence segmentation based on region growing

被引：0
|
作者：
Huang, Qiuyang [1 ]
Sun, Yongxiong [2 ]
Huang, Liping [2 ]
Zhang, Pei [2 ]
机构：
[1] Jilin Univ, Coll Software, Changchun 130012, Peoples R China
[2] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ADVANCED ENGINEERING MATERIALS AND TECHNOLOGY | 2015年 / 38卷
关键词：
The liver image sequences; Region growing method; Expansion and corrosion; The liver image segmentation;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
According to the serial correlation characteristics of liver CT images, in this paper, based on the morphology expansion and corrosion method, we put forward a liver CT sequence image segmentation method based on region growing algorithm. First conduct the smoothing denoising pretreatment to the sequence image([1]), and then select an image, and the region growing algorithm was adopted to realize the liver parenchyma area division. We adopt expansion and corrosion to process the segmentation result. Later we take it as the seed point of the next image. Finally we finish all the liver CT sequence image segmentation. Experimental results show that this method can effectively conduct the liver sequence image segmentation, and fill the empty after sequence segmentation, greatly reducing the user interaction.
引用
收藏
页码：572 / 577
页数：6
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