Recognition of Diabetic Retinopathy / Farrah Murni Syamirah Mohd Affizan

In this day and age, diabetic eye disease is a significant complication of diabetes mellitus which causing visual impairment and blindness. It is the main cause of loss of vision between individuals of working age and it has become a global concern. However, diabetes cannot be detected during physic...

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Main Author:	Mohd Affizan, Farrah Murni Syamirah
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Data processing Computer applications Instruments and machines
Online Access:	https://ir.uitm.edu.my/id/eprint/31490/1/31490.pdf
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id	my-uitm-ir.31490
record_format	uketd_dc
spelling	my-uitm-ir.314902020-06-26T04:16:36Z Recognition of Diabetic Retinopathy / Farrah Murni Syamirah Mohd Affizan 2020 Mohd Affizan, Farrah Murni Syamirah Data processing. Computer applications Instruments and machines In this day and age, diabetic eye disease is a significant complication of diabetes mellitus which causing visual impairment and blindness. It is the main cause of loss of vision between individuals of working age and it has become a global concern. However, diabetes cannot be detected during physical treatment. Hence, to recognize the symptoms of the diabetic retinopathy, image processing techniques are applied. Images of the retina will be pre-processed first using the enhancement technique where Green Channel is applied. Next, segmentation of the image occurs using Morphology which is top-hat and bottom-hat. Features of the segmented image are extracted using Gray Level Co-Occurrence (GLCM) technique. These features are used as parameters during classification process. Accuracy result is calculated when Support Vector Machine (SVM) that is used for classification managed to recognize diabetic retinopathy. The accuracy of this system is 83.33% and it is developed using MATLAB software. The findings from this study is believed to be helpful as it may contribute in medical image processing field. 2020 Thesis https://ir.uitm.edu.my/id/eprint/31490/ https://ir.uitm.edu.my/id/eprint/31490/1/31490.pdf text en public degree Universiti Teknologi MARA, Cawangan Melaka Faculty of Computer and Mathematical Sciences Abu Mangshor, Nur Nabilah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abu Mangshor, Nur Nabilah
topic	Data processing Computer applications Instruments and machines
spellingShingle	Data processing Computer applications Instruments and machines Mohd Affizan, Farrah Murni Syamirah Recognition of Diabetic Retinopathy / Farrah Murni Syamirah Mohd Affizan
description	In this day and age, diabetic eye disease is a significant complication of diabetes mellitus which causing visual impairment and blindness. It is the main cause of loss of vision between individuals of working age and it has become a global concern. However, diabetes cannot be detected during physical treatment. Hence, to recognize the symptoms of the diabetic retinopathy, image processing techniques are applied. Images of the retina will be pre-processed first using the enhancement technique where Green Channel is applied. Next, segmentation of the image occurs using Morphology which is top-hat and bottom-hat. Features of the segmented image are extracted using Gray Level Co-Occurrence (GLCM) technique. These features are used as parameters during classification process. Accuracy result is calculated when Support Vector Machine (SVM) that is used for classification managed to recognize diabetic retinopathy. The accuracy of this system is 83.33% and it is developed using MATLAB software. The findings from this study is believed to be helpful as it may contribute in medical image processing field.
format	Thesis
qualification_level	Bachelor degree
author	Mohd Affizan, Farrah Murni Syamirah
author_facet	Mohd Affizan, Farrah Murni Syamirah
author_sort	Mohd Affizan, Farrah Murni Syamirah
title	Recognition of Diabetic Retinopathy / Farrah Murni Syamirah Mohd Affizan
title_short	Recognition of Diabetic Retinopathy / Farrah Murni Syamirah Mohd Affizan
title_full	Recognition of Diabetic Retinopathy / Farrah Murni Syamirah Mohd Affizan
title_fullStr	Recognition of Diabetic Retinopathy / Farrah Murni Syamirah Mohd Affizan
title_full_unstemmed	Recognition of Diabetic Retinopathy / Farrah Murni Syamirah Mohd Affizan
title_sort	recognition of diabetic retinopathy / farrah murni syamirah mohd affizan
granting_institution	Universiti Teknologi MARA, Cawangan Melaka
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/31490/1/31490.pdf
_version_	1783734122812801024

Recognition of Diabetic Retinopathy / Farrah Murni Syamirah Mohd Affizan

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