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带线性正则化项的RSF模型
引用本文:张少华. 带线性正则化项的RSF模型[J]. 计算机工程与应用, 2011, 47(24): 160-162. DOI: 10.3778/j.issn.1002-8331.2011.24.045
作者姓名:张少华
作者单位:1.遵义师范学院 数学系,贵州 遵义 5630022.重庆大学 数学与统计学院,重庆 401331
基金项目:中央高校基本科研业务费资助项目,遵义师范学院科研基金资助项目
摘    要:RSF(Region-Scalable Fitting)模型能够分割灰度不均一图像,但对活动轮廓的初始化和噪声较为敏感。运用理论探究与实验相结合的方法,基于RSF模型,添加一个新的水平集线性正则化项,得到了一个新的活动轮廓模型。实验表明,该模型能够分割灰度不均一图像,对初始轮廓的大小和位置不敏感,抗噪性也较强。

关 键 词:图像分割  活动轮廓  可缩放区域拟合(RSF)模型  偏微分方程  正则化项  
修稿时间: 

RSF model with linear regularization item
ZHANG Shaohua. RSF model with linear regularization item[J]. Computer Engineering and Applications, 2011, 47(24): 160-162. DOI: 10.3778/j.issn.1002-8331.2011.24.045
Authors:ZHANG Shaohua
Affiliation:1.Department of Mathematics,Zunyi Normal College,Zunyi,Guizhou 563002,China2.College of Mathematics and Statistics,Chongqing University,Chongqing 401331,China
Abstract:RSF(Region-Scalable Fitting) model is able to deal with intensity inhomogeneity;however,it is sensitive to initial-ization and noise.Therefore,using the theories probe and experiment,the method of combining,based on RSF model,adding a level set linear regularization item,this paper proposes a novel active contour model.This model can address the segmenta-tion of images with intensity inhomogeneity,while it allows for flexible initialization of the contours and is significantly less sensitive to noise.
Keywords:image segmentation  active contour  Region-Scalable Fitting(RSF)model  partial differential equation  regularization item
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