Performance of image enhancement methods for diabetic retinopathy based on retinal fundus image
In Malaysia, Non-mydriatic fundus camera become a primary tool for Diabetic Retinopathy screening protocols due to user friendly and cost effective procedure. However, the quality of fundus image produces often suffer from uneven illumination, color distortion, blur, and low contrast. Therefore, the...
| Main Authors: | , , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/27239/1/ISCAIE%202020%2018%2023.pdf |
| _version_ | 1803629270461841408 |
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| author | Mohd Sharif, Nurul Atikah Harun, Nor Hazlyna Yusof, Yuhanis Embong, Zunaina Abu Bakar, Juhaida Osman, Muhammad Khusairi Shamsudin, Nurul Fatin Shazzwanie Feng, Lim Xiao |
| author_facet | Mohd Sharif, Nurul Atikah Harun, Nor Hazlyna Yusof, Yuhanis Embong, Zunaina Abu Bakar, Juhaida Osman, Muhammad Khusairi Shamsudin, Nurul Fatin Shazzwanie Feng, Lim Xiao |
| author_sort | Mohd Sharif, Nurul Atikah |
| collection | UUM |
| description | In Malaysia, Non-mydriatic fundus camera become a primary tool for Diabetic Retinopathy screening protocols due to user friendly and cost effective procedure. However, the quality of fundus image produces often suffer from uneven illumination, color distortion, blur, and low contrast. Therefore, the need for image enhancement become crucial to be implemented as a pre-processing technique in image processing funnel. This paper presents six general basic methods that commonly applied for image enhancement which includes histogram equalization, contrast stretching, image negative, brightness enhances, low light image and gray level slicing. The performance evaluation of each method compared based on human interpretations and quantitative measurement using MSE, PSNR and entropy. Retinal fundus images collected from Ophthalmology Clinic, Hospital Universiti Sains Malaysia were used as the input images. Quantitative and qualitative result shows that CS method become the preferred method to be used for image enhancement of retinal fundus image in Diabetic Retinopathy. |
| first_indexed | 2024-07-04T06:35:11Z |
| format | Conference or Workshop Item |
| id | uum-27239 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:35:11Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | uum-272392020-07-23T02:49:26Z https://repo.uum.edu.my/id/eprint/27239/ Performance of image enhancement methods for diabetic retinopathy based on retinal fundus image Mohd Sharif, Nurul Atikah Harun, Nor Hazlyna Yusof, Yuhanis Embong, Zunaina Abu Bakar, Juhaida Osman, Muhammad Khusairi Shamsudin, Nurul Fatin Shazzwanie Feng, Lim Xiao QA75 Electronic computers. Computer science In Malaysia, Non-mydriatic fundus camera become a primary tool for Diabetic Retinopathy screening protocols due to user friendly and cost effective procedure. However, the quality of fundus image produces often suffer from uneven illumination, color distortion, blur, and low contrast. Therefore, the need for image enhancement become crucial to be implemented as a pre-processing technique in image processing funnel. This paper presents six general basic methods that commonly applied for image enhancement which includes histogram equalization, contrast stretching, image negative, brightness enhances, low light image and gray level slicing. The performance evaluation of each method compared based on human interpretations and quantitative measurement using MSE, PSNR and entropy. Retinal fundus images collected from Ophthalmology Clinic, Hospital Universiti Sains Malaysia were used as the input images. Quantitative and qualitative result shows that CS method become the preferred method to be used for image enhancement of retinal fundus image in Diabetic Retinopathy. 2020 Conference or Workshop Item NonPeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/27239/1/ISCAIE%202020%2018%2023.pdf Mohd Sharif, Nurul Atikah and Harun, Nor Hazlyna and Yusof, Yuhanis and Embong, Zunaina and Abu Bakar, Juhaida and Osman, Muhammad Khusairi and Shamsudin, Nurul Fatin Shazzwanie and Feng, Lim Xiao (2020) Performance of image enhancement methods for diabetic retinopathy based on retinal fundus image. In: 2020 IEEE 10th Symposium on Computer Applications & Industrial Electronics (ISCAIE), 18-19 April 2020, Malaysia, Malaysia. (Unpublished) http://doi.org/10.1109/ISCAIE47305.2020.9108707 doi:10.1109/ISCAIE47305.2020.9108707 doi:10.1109/ISCAIE47305.2020.9108707 |
| spellingShingle | QA75 Electronic computers. Computer science Mohd Sharif, Nurul Atikah Harun, Nor Hazlyna Yusof, Yuhanis Embong, Zunaina Abu Bakar, Juhaida Osman, Muhammad Khusairi Shamsudin, Nurul Fatin Shazzwanie Feng, Lim Xiao Performance of image enhancement methods for diabetic retinopathy based on retinal fundus image |
| title | Performance of image enhancement methods for diabetic retinopathy based on retinal fundus image |
| title_full | Performance of image enhancement methods for diabetic retinopathy based on retinal fundus image |
| title_fullStr | Performance of image enhancement methods for diabetic retinopathy based on retinal fundus image |
| title_full_unstemmed | Performance of image enhancement methods for diabetic retinopathy based on retinal fundus image |
| title_short | Performance of image enhancement methods for diabetic retinopathy based on retinal fundus image |
| title_sort | performance of image enhancement methods for diabetic retinopathy based on retinal fundus image |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/27239/1/ISCAIE%202020%2018%2023.pdf |
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