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A LITERATURE SURVEY ON GLAUCOMA DETECTION TECHNIQUES USING FUNDUS IMAGES

Author(s):

Nidhi Shah , L.J. Institute Of Engineering And Technology; Narendra Limbad, L.J. Institute Of Engineering And Technology

Keywords:

Glaucoma, Higher order spectra, trace transform

Abstract

Glaucoma is caused due to unawareness in people which can be resulted in to the blindness. For patients affected by this, mass screening can be the best curable solution which can help to extend symptom-free life. Using hybrid feature extraction from digital fundus images, we propose a novel low cost automated glaucoma diagnosis system. Higher order spectra (HOS), trace transform (TT), and discrete wavelet transform (DWT) features are used for automated identification of normal glaucoma classes. Vector machine (SVM) classifier with linear, radial basis function (RBF) and polynomial order 1, 2, 3 are the extracted features fed to support in order to select the best kernel for automated decision making.

Other Details

Paper ID: IJSRDV2I9446
Published in: Volume : 2, Issue : 9
Publication Date: 01/12/2014
Page(s): 743-746

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