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Anomaly Detection System for Retinal Images Based on Area Classifier

Article

Last updated: 05 Jan 2025

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Subjects

-

Tags

Diabetic Retinopathy (DR)
Thresholding Segmentation
Green channel Extraction
Area classifier
Anomaly Detection System for Retinal Images Based on Area Classifier
2021 International Conference on Electronic Engineering (ICEEM)

Abstract

Abstract— Diabetic Retinopathy (DR) is a disease of the eye for diabetics, and it can lead to a lack of vision if leaved untreated. The proposed approach in this paper is used to help for detecting and classifying the DR. It is applied to detect non-proliferative DR by identifying micro-aneurysms and hemorrhages. Firstly, the pre-processing step is applied. It consists of extracting the green channel, removing the optic disc (OD) and normalizing the background. Then, h-maxima transformation is performed. After that, threshold segmentation is applied to detect the hemorrhages and micro-aneurysms, accurately. Finally, an area classifier is used for the classification process to discriminate dark spot lesions.

Keywords

Diabetic Retinopathy (DR), Thresholding Segmentation, Green channel Extraction, Area classifier

Authors

First Name

Mohamed

Last Name

Amer

Affiliation

Dept. of Electronics and Electrical Comm., Faculty of Electronic Engineering, Menouf , Menoufia University, Egypt

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City

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Orcid

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First Name

Mohamed

Last Name

Elmeligy

Affiliation

Electronics and Electrical Communication Dept,Faculty of Electronic Engineering,Menoufia University

Email

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City

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Orcid

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First Name

salah

Last Name

el-agooz

Affiliation

Department of Communication and Computer Engineering, Higher Institute of Engineering (HIE), El-Shorouk City, Egypt

Email

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City

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Orcid

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First Name

noha

Last Name

elhag

Affiliation

Department of Electronics and Electrical Communications Engineering Faculty of Engineering, Minia University, Egypt

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City

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Orcid

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First Name

walid

Last Name

elshafee

Affiliation

Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University

Email

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City

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Orcid

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First Name

Fathi

Last Name

Abd El-SAmie

Affiliation

Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University: Menouf, Egypt

Email

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City

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Orcid

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First Name

ashraf

Last Name

khalifa

Affiliation

Dept. of Electronics and Electrical Communication, Faculty of Engineering, Minia University, Egypt

Email

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City

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Orcid

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First Name

ghada

Last Name

banby

Affiliation

Department of Industrial electronics and control engineering Engineering Faculty of Electronic Engineering Menoufia University: Menouf, Egypt

Email

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City

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Orcid

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First Name

Mohamed

Last Name

A.Abdelhamed

Affiliation

Department of Communication and Computer Engineering, Higher Institute of Engineering (HIE), El-Shorouk City, Egypt

Email

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City

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Orcid

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Volume

2nd IEEE International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 3-4 July. 2021

Issue Date

1 Jan 2021

Publish Date

17 Jun 2021

Page Start

221

Page End

224

Link

https://iceem2021.conferences.ekb.eg/article_1162.html

Order

41

Publication Type

Conference

Publication Title

2021 International Conference on Electronic Engineering (ICEEM)

Publication Link

https://iceem2021.conferences.ekb.eg/

Details

Type

Article

Locale

en

Created At

13 Dec 2022