Phase Field Based Texture Image Segmentation Using Shape Prior Technology

被引：0
|
作者：
Feng, Zhilin [1 ]
Du, Shuwang [1 ]
Ye, Yanming [2 ]
Liu, Xiaoming [3 ]
Zuo, Wuheng [1 ]
机构：
[1] Zhejiang Univ Technol, Coll Zhijiang, Hangzhou 310024, Zhejiang, Peoples R China
[2] Zhejiang Univ, Coll Comp Sci, Hangzhou 310024, Zhejiang, Peoples R China
[3] Wuhan Univ Sci & Technol, Coll Comp Sci & Technol, Wuhan 430081, Peoples R China
来源：
SECOND INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN, VOL 1, PROCEEDINGS | 2009年
关键词：
shape prior; phase field; image segmentation; FRONT PROPAGATION;
D O I：
10.1109/ISCID.2009.126
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The correct segmentation of textural pattern into different meaningful regions is one of the most important problems in automatic texture image recognition. In this paper, we presented a variational integration of shape prior statistics into a phase-field based segmentation process. By derivating the new phase field functionals with gradient shape policy, we obtain the interface evolution process for texture pattern. The interface evolving uses information from shape templates to guide its behavior to desired features. Experimental results on noisy texture images demonstrated the efficacy of the proposed algorithm.
引用
收藏
页码：475 / 478
页数：4
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