A Novel Level Set Model Based on Local Information

被引：0

作者：

Min, Hai ^{[1
]}

Wang, Xiao-Feng ^{[1
]}

Lei, Ying-Ke ^{[1
]}

机构：

[1] Chinese Acad Sci, Hefei Inst Intelligent Machines, Hefei 230031, Peoples R China

来源：

ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS | 2010年 / 6215卷

关键词：

Level set; Image segmentation; Local information; 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：

Local image information is crucial for accurate segmentation of image with intensity inhomogeneity However the local information is not embedded in Chan-Vese model In this paper we propose a novel level set model which takes the local boundary information into account The proposed model can overcome the difficulty tint CV model suffered, i e, the unsuccessful segmentation of object with intensity inhomogeneity Finally we validate the efficiency of our model on some synthetic and real images

引用

页码：507 / 514

页数：8

共 13 条

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