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Glaucoma Detection in Retinal Image using Medial Axis Detection and Level Set Method
Author(s) -
G. Jayanthi,
G. Mary Amirtha Sagayee,
S. Arumugam
Publication year - 2014
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/16199-5470
Subject(s) - computer science , glaucoma , retinal , artificial intelligence , set (abstract data type) , computer vision , image (mathematics) , optometry , pattern recognition (psychology) , ophthalmology , medicine , programming language
Glaucoma is an eye disorder that characterized by elevated Intraocular pressure (IOP). The optic nerve head was damaged by the increased intraocular pressure. It will lead to vision loss, if it is unnoticed. By the extraction of optic disc and optic cup and also calculating the cup to disc ratio, the glaucoma will be detected. In our project we automatically extracted the optic disc in retinal image by using LDA and Medial axis detection. The optic cup extracted by using threshold based initialization level set method and ellipse fitting algorithm. These methods have been tested on drive databases. The average value obtained for (optic disc is a precision value and Recall value are 0.9 and 0.966 respectively, the F-score of 0.9323 and for optic cup a precision value and Recall value are 0.9 and 0.946 respectively, the F-score of 0.9218) describes that this method is a robust tool for detection of optic disc and optic cup..

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