融合局部图像信息的SLGS活动轮廓模型  

SLGS Active Contour Model Fused with Local Image Information

作　　者：刘瑞娟[1] 何传江[1] 原野[1] 

机构地区：[1]重庆大学数学与统计学院,重庆4O1331,重庆401331

出　　处：《计算机工程》2012年第10期188-190,共3页Computer Engineering

基　　金：重庆大学研究生科技创新基金资助项目(CDJXS11100045);重庆市自然科学基金资助项目(CSTC;2010BB9218)

摘　　要：SLGS模型不能处理灰度不均图像,而RSF模型对初始轮廓较敏感。为此,将RSF模型定义的局部信息融入SLGS模型中,提出一个以偏微分方程形式表达的活动轮廓模型。利用SLGS模型全局拟合量和RSF模型局部拟合量的线性组合构造符号压力函数,调整拟合量的权重以提升模型对灰度不均图像的处理能力和轮廓初始化的灵活性,并利用高斯滤波正则水平集函数法实现水平集函数的正则化。实验结果表明,该模型的分割结果比SLGS模型更准确。The SLGS model can not deal with intensity inhomogeneity,while the RSF model is sensitive to initialization.Incorporating the local information defined by the RSF model into the SLGS model,this paper proposes a novel active contour model in a partial differential equation formulation.A signed pressure force function is defined by a linear combination of the global fitting values defined by the SLGS model and the local fitting values defined by the RSF model.By choosing appropriately the parameter that controls the influence of the global and local fitting values,the proposed model can efficiently deal with intensity inhomogeneity and allows for the flexible initialization.Experimental results show that the proposed model is more accurate than the SLGS model.

关 键 词：图像分割 水平集方法 活动轮廓模型 C-V模型 RSF模型 SLGS模型 灰度不均 

分 类 号：TP911.73[自动化与计算机技术]