Lattice Boltzmann Method based Medical Image Segmentation

被引：0
|
作者：
Chen, Yu [1 ]
机构：
[1] Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang, Peoples R China
来源：
PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年
关键词：
Lattice Boltzmann Model; Medical image; image segmentation; anisotropic diffusion; CELLULAR-AUTOMATA;
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：
This paper presents a new LBM based image segmentation method. The mathematical deduction showed that the global equation of our model was very similar to the diffusion reaction equation. BY testing our LBM-based model on the artificial images, the behavior of image segmentation was given. We also demonstrated the effectiveness of the algorithm in clinical images such as blood cell image and MR image. Experiment results show that our model is effective.
引用
收藏
页码：1822 / 1826
页数：5
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