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一种基于阈值初始化的变分水平集牙菌斑图像分割方法
引用本文:兰红,陈凌,张璐. 一种基于阈值初始化的变分水平集牙菌斑图像分割方法[J]. 南方冶金学院学报, 2011, 0(3)
作者姓名:兰红  陈凌  张璐
作者单位:江西理工大学信息工程学院;
基金项目:江西省教育厅资助项目(GJJ11465)
摘    要:将变分水平集和图像阀值化两种图像分割方法相结合,在分析灰度图像直方图分布的基础上提出利用图像阈值设定C-V模型的初始化轮廓的新方法,改变了原有C-V模型的初始轮廓线设置中存在的不足.新方法应用于牙菌斑图像分割中能够较好的识别牙齿图像边缘信息,为下一步对牙菌斑进行量化分析提供了良好的数据基础.

关 键 词:变分水平集  图像阈值化  灰度直方图  C-V模型  牙菌斑图像  

A Variational Level Set Method of Image Segmentation Based on Thresholding Initial Contour
LAN Hong,CHEN Ling,ZHANG Lu. A Variational Level Set Method of Image Segmentation Based on Thresholding Initial Contour[J]. Journal of Southern Institute of Metallurgy, 2011, 0(3)
Authors:LAN Hong  CHEN Ling  ZHANG Lu
Affiliation:LAN Hong,CHEN Ling,ZHANG Lu(Faculty of Information Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China)
Abstract:Variational level set method is a quite hot research point in image processing.C-V model is a classic approach to segment image based on variational level set.It is especially helpful for medical images analysis,which has complex topology constructions,strong noises and lower contrast.But C-V model depends on initial contour.Image thresholding is also a simple and popular image segmentation method,which separates an image into two parts,and gets the target sub-image from background image.In the article,thes...
Keywords:variational formulation level set model  image thresholding  gray level histogram  chan-vese model  dental plaque image  
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