Preprocessing of fundus images for detection of diabetic retinopathy
In recent years, the lesions detection in fundus image become popular area of research in machine learning. The detection of symptoms in fundus image is typically used in diseases that related to eyes such as diabetic retinopathy where the main symptom is exudates. Symptom detection in fundus image...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Penerbit UiTM
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/32687/ http://umpir.ump.edu.my/id/eprint/32687/1/Preprocessing%20of%20fundus%20images%20for%20detection%20of%20diabetic%20retinopathy.pdf |
| _version_ | 1848824086340304896 |
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| author | Abd Aziz, Nurhakimah Sulaiman, Mohd Azman Hanif Mohd Yassin, Ahmad Ihsan Megat Ali, Megat Syahirul Amin Abu Hassan, Hasliza M.Shafie, Suraiya Zabidi, Azlee Eskandari, Farzad |
| author_facet | Abd Aziz, Nurhakimah Sulaiman, Mohd Azman Hanif Mohd Yassin, Ahmad Ihsan Megat Ali, Megat Syahirul Amin Abu Hassan, Hasliza M.Shafie, Suraiya Zabidi, Azlee Eskandari, Farzad |
| author_sort | Abd Aziz, Nurhakimah |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | In recent years, the lesions detection in fundus image become popular area of research in machine learning. The detection of symptoms in fundus image is typically used in diseases that related to eyes such as diabetic retinopathy where the main symptom is exudates. Symptom detection in fundus image depends on many factor. The common factors are varying contrast condition and the large size of the fundus image that will affect the training process for object detection. Furthermore, color similarity of the features in fundus image and the symptoms also one of the factor, for example the similarity between optics disc and exudates. In this paper, we discuss the different preprocessing stage in order to improve the quality of fundus image to mark the optic disc location for detection of optic disc in future work. We have used several datasets namely Kaggle, DIARETDB1 and DRIMDB datasets in this study. The results that we have achieved in SSIM value, clearly shows that the preprocessing was able to increase the image quality. |
| first_indexed | 2025-11-15T03:07:26Z |
| format | Article |
| id | ump-32687 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:07:26Z |
| publishDate | 2021 |
| publisher | Penerbit UiTM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-326872021-12-29T02:15:49Z http://umpir.ump.edu.my/id/eprint/32687/ Preprocessing of fundus images for detection of diabetic retinopathy Abd Aziz, Nurhakimah Sulaiman, Mohd Azman Hanif Mohd Yassin, Ahmad Ihsan Megat Ali, Megat Syahirul Amin Abu Hassan, Hasliza M.Shafie, Suraiya Zabidi, Azlee Eskandari, Farzad TK Electrical engineering. Electronics Nuclear engineering In recent years, the lesions detection in fundus image become popular area of research in machine learning. The detection of symptoms in fundus image is typically used in diseases that related to eyes such as diabetic retinopathy where the main symptom is exudates. Symptom detection in fundus image depends on many factor. The common factors are varying contrast condition and the large size of the fundus image that will affect the training process for object detection. Furthermore, color similarity of the features in fundus image and the symptoms also one of the factor, for example the similarity between optics disc and exudates. In this paper, we discuss the different preprocessing stage in order to improve the quality of fundus image to mark the optic disc location for detection of optic disc in future work. We have used several datasets namely Kaggle, DIARETDB1 and DRIMDB datasets in this study. The results that we have achieved in SSIM value, clearly shows that the preprocessing was able to increase the image quality. Penerbit UiTM 2021-10 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/32687/1/Preprocessing%20of%20fundus%20images%20for%20detection%20of%20diabetic%20retinopathy.pdf Abd Aziz, Nurhakimah and Sulaiman, Mohd Azman Hanif and Mohd Yassin, Ahmad Ihsan and Megat Ali, Megat Syahirul Amin and Abu Hassan, Hasliza and M.Shafie, Suraiya and Zabidi, Azlee and Eskandari, Farzad (2021) Preprocessing of fundus images for detection of diabetic retinopathy. Journal of Electrical and Electronic Systems Research (JEESR), 19 (8). pp. 149-156. ISSN 1985-5389. (Published) https://jeesr.uitm.edu.my/ |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Abd Aziz, Nurhakimah Sulaiman, Mohd Azman Hanif Mohd Yassin, Ahmad Ihsan Megat Ali, Megat Syahirul Amin Abu Hassan, Hasliza M.Shafie, Suraiya Zabidi, Azlee Eskandari, Farzad Preprocessing of fundus images for detection of diabetic retinopathy |
| title | Preprocessing of fundus images for detection of diabetic retinopathy |
| title_full | Preprocessing of fundus images for detection of diabetic retinopathy |
| title_fullStr | Preprocessing of fundus images for detection of diabetic retinopathy |
| title_full_unstemmed | Preprocessing of fundus images for detection of diabetic retinopathy |
| title_short | Preprocessing of fundus images for detection of diabetic retinopathy |
| title_sort | preprocessing of fundus images for detection of diabetic retinopathy |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/32687/ http://umpir.ump.edu.my/id/eprint/32687/ http://umpir.ump.edu.my/id/eprint/32687/1/Preprocessing%20of%20fundus%20images%20for%20detection%20of%20diabetic%20retinopathy.pdf |