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。
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.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第24期160-162,共3页
Computer Engineering and Applications
基金
中央高校基本科研业务费资助项目(No.CDJXS1010001)
遵义师范学院科研基金资助项目(No.11KY16)
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
image segmentation
active contour
Region-Scalable Fitting（RSF）model
partial differential equation
regularization item
