南京航空航天大学学报（英文版）2006，Vol.23Issue(2)：132-137,6.
基于水平集的多相活动轮廓图像分割模型
MULTI-PHASE ACTIVE CONTOUR MODEL FOR IMAGE SEGMENTATION BASED ON LEVEL SETS
摘要
Abstract
A new multi-phase active contour model is proposed for the image segmentation. It is a generalization of the C-V model with the following characteristics: (1) A key technique, called the technique of painting background (TPBG), is developed to remove the information of the background, which blocks the detection of weak boundaries in the object; (2) The two-phase level set is applied multiple times for getting the multi-phase segmentation model (n-1 times for the n-phase model, n>1); (3) A scaling-based method is introduced to improve the basic model. Experimental results show that the proposed model is effective for detecting weak boundaries.关键词
水平集/多相/背景填充技术/提升算法Key words
level set/multi-phase/technique of painting background/scaling-based method分类
信息技术与安全科学引用本文复制引用
郑罡,王惠南..基于水平集的多相活动轮廓图像分割模型[J].南京航空航天大学学报（英文版）,2006,23(2):132-137,6.基金项目
Supported by the National Natural Science Foundation of China(10572059).国家自然科学基金(10572059)资助项目. （10572059）
