Beta
ManageSearchChatDiscover
69188

An Efficient Framework for Macula Exudates Detection in Fundus Eye Medical Images

Article

Last updated: 25 Dec 2024

OverviewSimilar Items

Subjects

-

Tags

-

Abstract

This paper presents a computer-based framework for the segmentation of medical eye images. Also, the proposed framework achieves the detection of exudates in medical eye images for better diagnosis of maculopathy disease. The proposed framework begins with fuzzy image enhancement of eye images for contrast enhancement in order to enhance the objects representation of the images. After that, the segmentation process is performed to determine the optic disc and blood vessels to remove them. The next step is detecting the region of interest edges in exudates. A gradient process is also performed on the image and the histogram of gradient is evaluated. Accumulative histogram is further generated for discrimination between image with and without exudates. A threshold histogram curve is generated based on predefined images with and without exudates for classification of images in the testing phase. The simulation results prove that the proposed framework has an appreciated performance.

DOI

10.21608/mjeer.2020.69188

Keywords

Diabetic Maculpathy, exudates, Fuzzy Technique, Macula, Gaussian Gradient

Authors

First Name

Noha A.

Last Name

El-Hag

MiddleName

-

Affiliation

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

Email

-

City

-

Orcid

-

First Name

Walid

Last Name

El-Shafie

MiddleName

-

Affiliation

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

Email

-

City

-

Orcid

-

First Name

Ghada M.

Last Name

El-Banby

MiddleName

-

Affiliation

Automatic Control Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

Email

-

City

-

Orcid

-

First Name

El-Sayd M.

Last Name

El-Rabaie

MiddleName

-

Affiliation

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

Email

-

City

-

Orcid

-

First Name

Adel S.

Last Name

El-Fishawy

MiddleName

-

Affiliation

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

Email

-

City

-

Orcid

-

First Name

Fathi I.

Last Name

Abd El-Samie

MiddleName

-

Affiliation

Communications and ElectronicsDepartment Faculty of Electronic Engineering, Menuufia Univeristy: Menof, Egypt

Email

-

City

-

Orcid

-

Volume

29

Article Issue

1

Related Issue

9963

Issue Date

2020-01-01

Receive Date

2020-01-26

Publish Date

2020-01-01

Page Start

78

Page End

83

Print ISSN

1687-1189

Online ISSN

2682-3535

Article File

MJEER_Volume 29_Issue 1_Pages 78-83.pdf

PDF . 616.2kB

Link

https://mjeer.journals.ekb.eg/article_69188.html

Detail API

https://mjeer.journals.ekb.eg/service?article_code=69188

Order

11

Type

Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

An Efficient Framework for Macula Exudates Detection in Fundus Eye Medical Images

Details

Type

Article

Created At

22 Jan 2023