Eye Diseases Classification Using Back Propagation Artificial Neural Network

A human eye is a vital organ responsible for a person's vision. So, the early detection of eye diseases is essential. The objective of this paper deals with diagnosing of seven different external eye diseases that can be recognized by a human eye. These diseases cause problems either in eye pup...

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Main Authors: Hanaa M. Ahmed, Shrooq R. Hameed
Format: Article
Language:English
Published: Unviversity of Technology- Iraq 2021-03-01
Series:Engineering and Technology Journal
Subjects:
Online Access:https://etj.uotechnology.edu.iq/article_168147_58f30178b36c8fbbe6429aeeac618cf1.pdf
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author Hanaa M. Ahmed
Shrooq R. Hameed
author_facet Hanaa M. Ahmed
Shrooq R. Hameed
author_sort Hanaa M. Ahmed
collection DOAJ
description A human eye is a vital organ responsible for a person's vision. So, the early detection of eye diseases is essential. The objective of this paper deals with diagnosing of seven different external eye diseases that can be recognized by a human eye. These diseases cause problems either in eye pupil, in sclera of eye or in both or in eyelid. Color histogram and texture features extraction techniques with classification technique are used to achieve the goal of diagnosing external eye diseases. Hue Min Max Diff (HMMD) color space is used to extract color histogram and texture features which were fed to Back Propagation Artificial Neural Network (BPANN) for classification. The comparative study states that the features extracted from HMMD color space is better than other features like Histogram of Oriented Gradient (HOG) features and give the same accuracy as features extracted directly from medical expert recorded symptoms. The proposed method is applied on external eye diseases data set consisting of 416 images with an accuracy rate of 85.26315%, which is the major result that was achieved in this study.
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spelling doaj.art-b04a850dbe244d31a3009002917a73692024-02-01T07:17:18ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582021-03-01391B112010.30684/etj.v39i1B.1363168147Eye Diseases Classification Using Back Propagation Artificial Neural NetworkHanaa M. Ahmed0Shrooq R. Hameed1Department of Computer Science, University of Technology, Baghdad, Iraq, 110113@uotechnology.edu.iq.Department of Computer Science, University of Technology, Baghdad, Iraq, shrooq_rasheed@yahoo.com.A human eye is a vital organ responsible for a person's vision. So, the early detection of eye diseases is essential. The objective of this paper deals with diagnosing of seven different external eye diseases that can be recognized by a human eye. These diseases cause problems either in eye pupil, in sclera of eye or in both or in eyelid. Color histogram and texture features extraction techniques with classification technique are used to achieve the goal of diagnosing external eye diseases. Hue Min Max Diff (HMMD) color space is used to extract color histogram and texture features which were fed to Back Propagation Artificial Neural Network (BPANN) for classification. The comparative study states that the features extracted from HMMD color space is better than other features like Histogram of Oriented Gradient (HOG) features and give the same accuracy as features extracted directly from medical expert recorded symptoms. The proposed method is applied on external eye diseases data set consisting of 416 images with an accuracy rate of 85.26315%, which is the major result that was achieved in this study.https://etj.uotechnology.edu.iq/article_168147_58f30178b36c8fbbe6429aeeac618cf1.pdfback propagationeye diagnosisfeature extractionhueminmaxdiff (hmmd) color spacelaws feature
spellingShingle Hanaa M. Ahmed
Shrooq R. Hameed
Eye Diseases Classification Using Back Propagation Artificial Neural Network
Engineering and Technology Journal
back propagation
eye diagnosis
feature extraction
hue
min
max
diff (hmmd) color space
laws feature
title Eye Diseases Classification Using Back Propagation Artificial Neural Network
title_full Eye Diseases Classification Using Back Propagation Artificial Neural Network
title_fullStr Eye Diseases Classification Using Back Propagation Artificial Neural Network
title_full_unstemmed Eye Diseases Classification Using Back Propagation Artificial Neural Network
title_short Eye Diseases Classification Using Back Propagation Artificial Neural Network
title_sort eye diseases classification using back propagation artificial neural network
topic back propagation
eye diagnosis
feature extraction
hue
min
max
diff (hmmd) color space
laws feature
url https://etj.uotechnology.edu.iq/article_168147_58f30178b36c8fbbe6429aeeac618cf1.pdf
work_keys_str_mv AT hanaamahmed eyediseasesclassificationusingbackpropagationartificialneuralnetwork
AT shrooqrhameed eyediseasesclassificationusingbackpropagationartificialneuralnetwork