| Autor: |
Krishnasree, V., Teja, T. Sai, Geethika, M., Prajith, G. Sai |
| Předmět: |
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| Zdroj: |
Grenze International Journal of Engineering & Technology (GIJET); 2023, Vol. 9 Issue 2, p16-22, 7p |
| Abstrakt: |
Glaucoma is a chronic condition affecting the optic nerves that causes partial or total vision loss. An increase in intraocular pressure within the eye, which damages the optic nerve, is the primary cause of this condition. Retinal images provide important information about an eye's health. Based on advancements in retinal image technology, it is possible to develop frameworks that can analyse these retinal images for better determination. This study describes a method for diagnosing glaucoma using fundus images to assess the CDR (Cup to Disc Ratio). The optical disc and optic cup sizes are used to diagnosis glaucoma. As a result, the first step is to segment the optic disc and optic cup in the diagnosis of glaucoma. The two competing goals are to reduce inaccuracy and feature count. The proposed glaucoma recognition method is divided into three steps: image acquisition, feature extraction, and glaucoma evaluation. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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