Chan-Vese模型下的复合多相水平集图像分割  

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

作　　者：翁晓光[1] 郑罡[1] 

机构地区：[1]南京航空航天大学自动化学院,南京210016

出　　处：《应用科学学报》2009年第4期365-369,共5页Journal of Applied Sciences

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。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.

关 键 词：Chan—Vese模型 多区域分割 水平集 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]