基于模糊连接度的交互式活动轮廓模型  

Interactive active contour model based on fuzzy connectedness

作　　者：杨东亮[1] 邓廷权[2] 戴家树[1] 

机构地区：[1]哈尔滨工程大学计算机科学与技术学院,哈尔滨150001 [2]哈尔滨工程大学理学院,哈尔滨150001

出　　处：《计算机应用研究》2014年第10期3181-3183,3195,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(10771043)

摘　　要：由于活动轮廓模型能量函数是非凸的,图像分割的结果易于陷入局部最优。为了克服该问题,提出一种基于凸活动轮廓模型的交互式彩色图像分割方法。该方法的新能量函数不仅充分利用边缘信息和颜色信息,还包含一种新定义的空间位置信息。通过模糊连接度构造空间位置信息,将其自适应地融合到活动轮廓模型中。在数值优化过程中,采用分裂Bregman方法获得新模型的全局最优解。针对多幅彩色自然图像作对比实验,结果表明新方法能够准确、快速地得到理想的分割结果。The energy function of active contour model is not convex, so the solution of a minimization problem is prone to fall into a local minimum. Dealing with the problem, this paper proposed a novel convex active contour model for interactive color image segmentation. It defined a new energy function including not only image edge and color information, but also a spatial information term which was adaptively fused with the color information. It defined the spatial information term by fuzzy con- nectedness and introduced to get more accurate segmentation results. In the energy numerical minimization process, it used split Bregman method to obtain a global solution. Experimental results demonstrate that the proposed method can accurately and quickly get desired segmentation results.

关 键 词：交互式图像分割 活动轮廓模型 模糊连接度 彩色图像分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]