A Novel Variational Segmentation Method for High-noise Image

被引：0
|
作者：
Luo, Zhihong [1 ,2 ]
Feng, Guocan [2 ]
Yang, Guan [2 ]
机构：
[1] Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510275, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Sch Math & Computat Sci, Guangzhou 510275, Guangdong, Peoples R China
来源：
PROCEEDINGS OF THE 2009 CHINESE CONFERENCE ON PATTERN RECOGNITION AND THE FIRST CJK JOINT WORKSHOP ON PATTERN RECOGNITION, VOLS 1 AND 2 | 2009年
关键词：
image denoising; image segmentation; coupling model; ACTIVE CONTOURS;
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：
A novel variational method coupling denoising and segmentation is proposed. First, the high-noise images are denoised by the proposed denoising model, then they are segmented by the new segmentation model. And through multiplication operator splitting (MOS) numerical algorithm, the effective and stable results are obtained. Experimental results clearly demonstrate that the proposed method coupling denoising and segmentation has effectiveness and it has an advantage over CV model in high-noise image segmentation.
引用
收藏
页码：405 / +
页数：2
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