华中科技大学学报（自然科学版）Issue(z1)：376-380,5.DOI:10.13245/j.hust.15S1089
糖尿病视网膜病变图像的血管分割方法研究
Research on vessels segmentation method of diabetic retinopathy image
摘要
Abstract
A vessels segmentation method of diabetic retinopathy image was proposed in this paper. The accurate detection results of lesion areas were obtained by a series of morphological operations. Then,the lesion areas were removed from the result of vessels segmentation.Finally,the final net-work of vessels was obtained via connecting the broken vessels in the lesion areas according to the principle of gradient intensity and direction similar.The average accuracy rate of the segmentation method tested on Stare public database in this paper is 94.67%,and TPR value reaches 74.96%.In addition,the segmentation result is higher accuracy and TPR value compared with the segmentation method of non-lesion detection.关键词
糖尿病视网膜病变/数学形态学/血管分割/图像增强/病变检测Key words
diabetic retinopathy/mathematical morphology/vessels segmentation/image enhance-ment/lesion detection分类
信息技术与安全科学引用本文复制引用
闵锋,单玲玉,张彦铎..糖尿病视网膜病变图像的血管分割方法研究[J].华中科技大学学报（自然科学版）,2015,(z1):376-380,5.基金项目
湖北省自然科学基金资助项目（2014CFA130）；湖北省教育厅重点资助项目（D20141505）；武汉工程大学科学研究基金资助项目（K201401）． （）
