摘要
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.
提出了一种新型的多相活动轮廓模型,是无边活动轮廓模型的广义形式。该模型具有如下特点:(1)提出了背景填充技术,可以在检测目标内部弱边缘时去除阻碍检测的背景信息;(2)在单次二相水平集收敛的基础上,采用多次收敛方式实现了多相分割模型(n-1次收敛实现n相分割模型,n>1);(3)介绍了一种提升算法,进一步增强了模型的计算稳定性。实验结果表明,该模型对弱边缘检测特别有效。
基金
国家自然科学基金(10572059)资助项目~~
