基于方向气球力活动轮廓模型的图像分割  

Image Segmentation Using Directional Balloon Force Active Contour Model

作　　者：祖克举[1] 周昌雄[1] 

机构地区：[1]江苏镇江江苏科技大学电子信息学院,212003

出　　处：《微计算机信息》2006年第10X期301-303,共3页Control & Automation

基　　金：江苏省教育厅自然科学基金资助项目(2002316)

摘　　要：针对传统参数活动轮廓模型存在对轮廓线初始位置敏感的缺点,提出了方向气球力活动轮廓模型并应用于MRI图像分割。该模型利用底层图像分割的结果确定外力的方向,使气球力方向始终指向目标边界,引导轮廓线变形。当轮廓线运动到目标边界附近时,在高斯势力作用下继续变形,完成图像高层分割。实验结果表明,该模型与轮廓线初始位置无关,能实现MRI图像的自动分割。Traditional parametric active contour model is sensitive to the initial position.An improved external force for the active contour, called directional balloon force is proposed to address problem associated with initialization and is used to segment MRI images. In this model the direction of the force is decided by the results of low-level segmentation and always points to object boundary to make the contour deform. In the vicinity of object boundary, Gaussian potential force drives the contour towards boundary and highlevel segmentation is implemented. The experiments of segmenting left ventricle MRI images show that this model be independent of the initial position and can segment image automatically.

关 键 词：图像分割 方向气球力 活动轮廓模型 高斯势力 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]