基于参数估计的多层M-S模型杯盘分割方法  

Segmentation of the Optic Cup and Disk of Images Based on Hierarchical M-S Model with Parameter Estimation

作　　者：邱泓[1] 罗毅平[1] 张向莉 

机构地区：[1]湖南工程学院电气信息学院,湖南湘潭411101 [2]湖南湘潭电机集团,湖南湘潭411101

出　　处：《测控技术》2011年第11期36-39,43,共5页Measurement & Control Technology

基　　金：湖南省科技计划重点项目(2009FJ2007)

摘　　要：多层Mumford-Shah模型能够很好地分割通过彩色眼底成像得到的视乳头杯盘图像,但由于光照不均、对比度小等因素,图像中存在很多无用的噪声点,对于不同的图像,多层Mumford-Shah模型需要不同的长度参数,为了解决这个问题,给出了一个自适应的长度参数估计模型。另外,血管遮挡也会使得杯盘边缘曲线的凹陷和断裂,从而造成图像分割困难,采用结合了先验知识的约束方法来提取有效的边缘曲线,并通过曲线拟合来得到完整的杯盘边缘。实验证明,该方法能有效地解决上述视乳头杯盘分割问题。The hierarchical Mumford-Shah model can segment the optic cup and disk of optic nerve head images very well gotten from color fundus imaging. But because of poor illumination and low contrast, the images have many unwanted noise, thus segmentation of images based on the hierarchical Mumford-Shah model needs different length parameters. To solve this problem, an adaptive model based on the parameter estimation is pres- ented. Vascular occlusion will also make cup and disk edge cave and part. Using a method combined prior knowledge of the constraint method, the effective edge curve is extracted, then, the complete edge of optic cup and disk is gotten by using curve fitting. The experimental results show that this method can effectively solve the above problem of segmentation of optic cup and disk of optic nerve head images.

关 键 词：Mumford-Shah模型(M.S模型) 参数估计 视乳头 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]