基于类间方差参数活动轮廓模型图像分割  

Image Segmentation Based on Parametric Active Contour Model of Inter-Region Variance

作　　者：崔鸣[1,2] 周昌雄[1,2] 胡志峰[2] 张培[2] 徐荣青[3] 

机构地区：[1]江苏省现代企业信息化应用支撑软件工程技术研发中心,江苏苏州215104 [2]苏州市职业大学电子信息工程系,江苏苏州215104 [3]南京邮电大学光电工程学院,江苏南京210003

出　　处：《微电子学与计算机》2010年第4期145-148,共4页Microelectronics & Computer

基　　金：国家自然科学基金项目(60778007);江苏省现代企业信息化基金项目(SX200906)

摘　　要：提出了基于类间方差参数活动轮廓模型图像分割法.该方法将气球力参数活动轮廓模型中的恒定气球力替换为包含区域信息的变力,最大化目标和背景两区域类间方差,引导轮廓曲线进化.实验结果表明:对于初始轮廓位置不论是处于目标区域内部,或者是处于背景区域内部,还是与目标和背景区域相交,该模型都能获得正确分割结果.In this paper, an improved image segmentation method based on parametric active contour model of inter-region variance was proposed and successfully applied to image segmentation. This proposed model replaces constant force in the balloon parametric active contour model with variable force incorporating foreground and background two regions information. It guides curve to evolve with the criterion of the maximization inter-region variance of the foreground and background. Experimental results show that the proposed model is robustness to initial contours position whether it is inside the target region, or outside background region, or intersects with target and background region, and can segment image automatically.

关 键 词：类间方差 图像分割 参数活动轮廓模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]