Detection of Hard Exudates in Retinopathy Images

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 exudat...

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Bibliographic Details
Published inAdvances in distributed computing and artificial intelligence journal Vol. 8; no. 4; pp. 41 - 48
Main Authors Verma, Satya Bhushan, Yadav, Abhay Kumar
Format Journal Article
LanguageEnglish
Published Salamanca Ediciones Universidad de Salamanca 01.01.2019
Subjects
Brain damage
Color imagery
cotton wool spot
Exudation
fundus image
hard exudates
Image detection
Performance evaluation
Retina
retinopath
Vision
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Summary: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.
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ISSN:2255-2863
2255-2863
DOI:10.14201/ADCAIJ2019844148