计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (11): 204-206.

• 图形、图像、模式识别 • 上一篇    下一篇

全局和局部拟合的活动轮廓模型

陈 强,何传江   

  1. 重庆大学 数理学院,重庆 400030
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-04-11 发布日期:2011-04-11

Active contour model based on global and local fitting

CHEN Qiang,HE Chuanjiang   

  1. College of Mathematics and Physics,Chongqing University,Chongqing 400030,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-04-11 Published:2011-04-11

摘要: 在现有的活动轮廓模型中,PC模型和RSF模型是两个著名的基于区域的模型。PC模型对活动轮廓的初始化和噪声不敏感,但不能分割灰度不均一图像。RSF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。基于PC和RSF模型,提出一个以偏微分方程形式表达的基于区域的活动轮廓模型。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, 活动轮廓模型, RSF模型, PC模型, 偏微分方程

Abstract: In the existing active contour models,both Piecewise Constant(PC) model and Region-Scalable Fitting(RSF) model are two of the popular region-based models.PC model is much less sensitive to the initialization of the contours and noise;however,it cannot handle images with intensity inhomogeneity.RSF model is able to deal with intensity inhomogeneity;however,it is sensitive to initialization and noise.Based on PC and RSF models,this paper proposes a novel region-based active contour model in a Partial Differential Equation(PDE) formulation.This model can address the segmentation of images with intensity inhomogeneity,while it allows for flexible initialization of the contours and is significantly less sensitive to noise.

Key words: image segmentation, active contour model, Region-Scalable Fitting(RSF) model, Piecewise Constant(PC) model, Partial Differential Equation(PDE)