Detection of Hard Exudates in Retinopathy Images

被引:4
|
作者
Verma, Satya Bhushan [1 ]
Yadav, Abhay Kumar [1 ]
机构
[1] Cent Univ, BBA Univ, Dept Comp Sci, Lucknow, Uttar Pradesh, India
来源
ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL | 2019年 / 8卷 / 04期
关键词
Hard Exudates; Retinopath; Fundus Image; Cotton Wool Spot; Retina;
D O I
10.14201/ADCAIJ2019844148
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The tissue layer located at the back of the eye is known as retina which converts the incoming light into nerve signals and those signals are sent to the brain for understanding. The damage onto the retina is termed as retinopathy and that may lead to vision weakening or vision loss. The hard exudates are small white or yellowish white deposits with their edges being clear and sharp. In the proposed methods we take color image of retina then extract the green channel of that image then apply top hat transformation and bottom hat transformation on that image. The DIARETDB1 and High-Resolution Fundus (HRF) databases are used for performance evaluation of the proposed method. The proposed technique achieves accuracy 97%, sensitivity 95%, and specificity 96% and it takes average 5.6135 second for detection of hard exudates in an image.
引用
收藏
页码:41 / 48
页数:8
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