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应用科学学报 ›› 2009, Vol. 27 ›› Issue (4): 365-369.

• 信号与信息处理 • 上一篇    下一篇

Chan-Vese模型下的复合多相水平集图像分割

翁晓光 郑罡   

  1. 南京航空航天大学自动化学院，南京210016
  • 收稿日期:2008-12-22 修回日期:2009-05-06 出版日期:2009-07-30 发布日期:2009-07-30
  • 作者简介:翁晓光，博士生，研究方向：信息可视化及图像处理，E-mail: wengxiaoguang@nuaa.edu.cn

Image Segmentation Based on Chan-Vese Model Using Composite Multiphase Level Set

  1. College of Automation Engineering，Nanjing University of Aeronautics and Astronautics，Nanjing 210016，China
  • Received:2008-12-22 Revised:2009-05-06 Online:2009-07-30 Published:2009-07-30

PDF

2237

被引次数

13

摘要：

Chan-Vese模型(C-V模型)能够实现图像的二区域分割，但在多区域分割上存在局限. 目前解决C-V模型多区域分割问题有两种方案：一是采用多水平集同时收敛的并行多相分割；另一种是采用多水平集依次收敛的串行多相分割. 文中将两种方案结合起来，利用并行多相算法表示区域量大和串行多相算法分割效率高的特点，提出基于C-V模型的复合多相水平集分割算法，增加了串行结构下的分割区域量，也提高了并行结构下各水平集的实际分割效率. 实验结果表明，该方法可实现多区域分割，并能检测由弱边缘构成的子目标.

关键词: Chan-Vese模型, 多区域分割, 水平集

Abstract:

The Chan-Vese model is used to partition an image into two regions. However it has limitation for multi-region segmentation. To deal with the problem, two models can be used: parallel multiphase algorithm using multiple level sets simultaneously, and serial multiphase algorithm using level sets hierarchically. In this paper, a composite multiphase level sets algorithm for image segmentation based on the C-V model is proposed. The two kinds of multiphase algorithms are combined, allowing detection of more regions with a serial structure and having high efficiency for segmentation with a parallel structure. Experimental results show that the proposed algorithm can partition a given image into multiple regions and detect sub-objects with weak boundaries.

Key words: Chan-Vese model, multi-region segmentation, level set

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