JOURNAL ARTICLE

Glaucoma Detection from Color Fundus Images

Madhusudan MishraMalaya Kumar NathSamarendra Dandapat

Year: 2012 Journal:   International Journal of Computer and Communication Technology Pages: 261-264

Abstract

Glaucoma is a pathological condition, progressive neurodegeneration of the optic nerve, which causes vision loss. The damage to the optic nerve occurs due to the increase in pressure within the eye. Glaucoma is evaluated by monitoring intra ocular pressure (IOP), visual field and the optic disc appearance (cup-to-disc ratio). Cup-to disc ratio (CDR) is normally a time invariant feature. Therefore, it is one of the most accepted indicator of this disease and the disease progression. In this paper, active contour method is used to find the CDR from the color fundus images to determine pathological process of glaucoma. The method is applied on 25 nos of color fundus images obtained from optic disc organization UK having normal and pathological images. The proposed technique able to categorize all the glaucoma disease images.

Keywords:
Glaucoma Optic disc Optic nerve Ophthalmology Fundus (uterus) Medicine Optic cup (embryology) Optic disk Pathological Visual field Optometry Pathology Biology

Metrics

25
Cited By
1.06
FWCI (Field Weighted Citation Impact)
8
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Retinal Imaging and Analysis
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Glaucoma and retinal disorders
Health Sciences →  Medicine →  Ophthalmology
Digital Imaging for Blood Diseases
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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