A Medical Image Segmentation Method Fusing Anisotropic Diffusion Model

被引：0
|
作者：
Zhang, Meng-meng [1 ]
Ma, Ling [2 ]
Yang, Zhi-hui [2 ]
Yang, Yang [1 ]
Bai, Hui-hui [3 ]
机构：
[1] N China Univ Technol, Coll Informat Engn, Beijing 100144, Peoples R China
[2] Univ Sci & Technol Beijing, Beijing 100083, Peoples R China
[3] Jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China
来源：
COMPUTATIONAL MATERIALS SCIENCE, PTS 1-3 | 2011年 / 268-270卷
关键词：
medical image segmentation; anisotropic diffusion; structural similarity;
D O I：
10.4028/www.scientific.net/AMR.268-270.1121
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The denoising principal of the anisotropic diffusion equation is studied. Adaptive filtering of image is realized by combining the improved image structural similarity algorithm and the anisotropic diffusion equation. This algorithm is applied to medical image segmentation. Experimental results show that the improved algorithm has good robustness and advantages in the application of adaptive medical image filtering and segmentation.
引用
收藏
页码：1121 / +
页数：2
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