文章基本信息

标题：Hierarchical Detection of Hard Exudates in Color Retinal Images
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作者：Bu, Wei ; Wu, Xiangqian ; Chen, Xiang 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2013
卷号：8
期号：11
页码：2723-2732
DOI：10.4304/jsw.8.11.2723-2732
语种：English
出版社：Academy Publisher
摘要：Diabetic retinopathy (DR) is one of the common causes of blindness, and hard exudates (HEs) are the primary and early clinical signs of DR. Thus, a reliable detection of HEs is significant for clinical diagnosis and preventing vision loss of patients. In this paper, a novel method is presented to detect HEs automatically in color retinal images. The method consists of two stages: coarse level and fine level. In coarse level, we extract HEs candidate regions by combining histogram segmentation with morphological reconstruction. While in fine level, we define44 representative features for each candidate region, and train a support vector machine (SVM) model to classify HEs and non-HEs. We evaluate the proposed method on the public DIARETDB1 database and yield a sensitivity of94.7% and a positive predictive value of 90.0%. Experiment results show that our method can detect HEs efficiently.
关键词：diabetic retinopathy;hard exudates;histogram segmentation;morphological reconstruction;SVM