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Home > Archives > Volume 20, No 8 (2022) > Article

DOI: 10.14704/nq.2022.20.8.NQ44536

EFFICIENT FEATURE EXTRACTION OF THE OPTIC CUP AND DISC FROM EYE IMAGES FOR OPTIMAL DETECTION OF GLAUCOMA

PERIYAKARUPPAN K, KAVITHA M S, SHANTHINI J

Abstract

Glaucoma is a progressive eye disease that can cause irreversible vision loss if left untreated. Regular glaucoma screenings are important because the disorder is irreversible in its advanced stages. In this paper, we use a feature extraction process after pre-processing, where the feature extraction involves feature selection, ranking and sampling. The simulation is conducted on three different datasets to test the efficacy of the feature selection model. The results of simulation shows that the proposed weight based ranking provides an improved feature selection than the existing models.

Keywords

Glaucoma, Eye Disease, Screening, Optic Cup, Feature Extraction

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