Triwijoyo, Bambang Krismono (2022) Optic Disk Segmentation Using Histogram Analysis. International Journal of Engineering and Computer Science Applications (IJECSA), 1 (1). ISSN 2828-5611
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Abstract
In the field of disease diagnosis with ophthalmic aids, automatic segmentation of the retinal optic disc is required. The main challenge in OD segmentation is to determine the exact location of the OD and remove noise in the retinal image. This paper proposes a method for automatic optical disc segmentation on color retinal fundus images using histogram analysis. Based on the properties of the optical disk, where the optical disk tends to occupy a high intensity. This method has been applied to the Digital Retinal Database for Vessel Extraction (DRIVE) and MESSIDOR database. The experimental results show that the proposed automatic optical segmentation method has an accuracy of 55%for DRIVE dataset and 89% for MESSIDOR database.
| Item Type: | Article |
|---|---|
| Keywords: | Optic Disk; Segmentation; Histogram Analysis. |
| Subjects: | T Technology > T Technology (General) |
| Depositing User: | Bambang Krismono Triwijoyo |
| Date Deposited: | 20 Apr 2023 05:27 |
| Last Modified: | 20 Apr 2023 05:27 |
| URI: | http://repository.universitasbumigora.ac.id/id/eprint/2489 |
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