病变视网膜图像的血管骨架提取方法研究  

Extracting blood centerline adapted for retinal fundus images with pathologies

作　　者：张东波[1] 尚星宇[1] 

机构地区：[1]湘潭大学信息工程学院,湘潭411105

出　　处：《电子测量与仪器学报》2011年第9期749-755,共7页Journal of Electronic Measurement and Instrumentation

基　　金：国家自然科学基金资助科研项目(编号:6O835004)资助项目;湖南省教育厅科研资助项目(编号:10B109)资助项目

摘　　要：现有血管提取方法很少考虑到视网膜病变后,受病变区域边界干扰,很难正确提取血管结构。针对眼底视网膜病变图像,利用不同相位下Gabor滤波函数对不同特征模式的响应特性,提出一种基于Gabor滤波的非血管结构抑制血管提取方法,同时结合非极大值抑制细化以及滞后多阈值处理技术,最终实现眼底图像血管骨架提取。实验结果表明,该方法优于同类高斯匹配滤波方法和不采用非血管结构抑制的Gabor滤波方法。Existing blood vessel extraction methods hardly regard to retinopathy image.Due to the interference of lesions border,it is difficult to correctly extract the vasculature.In this paper,we propose a novel method based on differ-ent phase offsets which correspond to different responses of Gabor functions against image feature.The method applies non-vessel structure inhibition based on Gabor filter,and combines with non-maxima suppression and multi-threshold hysteresis technique.Experimental results show that our method is better than Gaussian matched filter and Gabor filter without non-vessel structure inhibition.

关 键 词：视网膜眼底图像 血管提取 GABOR滤波 滞后多阈值 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]