Automated detection of exudates on color fundus image using region merging by k-NN graph

摘要：

Diabetic retinopathy is a serious disease diabetic eye disease as a leading cause of blindness.In this paper,we propose an automated algorithm of detecting exudates in diabetic retinopathy image.The algorithm merges regions using k nearest neighbor graph,and identifies exudates according to color information and pixel locations.The algorithm is quite fast but achieves an average specificity of 95.42％ with the average sensitivity of 91.08％ in detection of the exudates in a test case with 8 diabetic retinopathy images.This method can be implemented as a prototype for automatic exudates detection in a clinical environment.

关键词： Diabetic retinopathy retinal images region merging k nearest neighbor graph exudates

作者: Wei Lin Hongzhi Liu Mantao Xu Jiwu Zhang

作者单位: Department of Biomedical Engineering,Shanghai JiaoTong University,Shanghai,China Department of Computer Science and Engineering,Fudan University,Shanghai,China Global R&D Center,Carestream Company,No.27,New Jinqiao Road,Shanghai,China

会议类型: 国际会议

会议名称: 7th Asian-Pacific Conference on Medical and Biological Engineering(第七届亚太地区生物工程学术会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-04-22（万方平台首次上网日期，不代表论文的发表时间）