NDLI: Computer aided diagnosis of glaucoma using discrete and empirical wavelet transform from fundus images

Content Provider	IET Digital Library
Author	Kirar, Bhupendra Singh Agrawal, Dheeraj Kumar
Abstract	Glaucoma is a class of eye disorder; it causes progressive deterioration of optic nerve fibres. Discrete wavelet transforms (DWTs) and empirical wavelet transforms (EWTs) are widely used methods in the literature for feature extraction using image decomposition. However, to increase the accuracy for measuring features of images a hybrid and concatenation approach has been presented in the proposed research work. DWT decomposes images into approximate and detail coefficients and EWT decomposes images into its sub band images. The concatenation approach employs the combination of all features obtained using DWT and EWT and their combination. Extracted features from each of DWT, EWT, DWTEWT and EWTDWT are concatenated. Concatenated features are normalised, ranked and fed to singular value decomposition to find robust features. Fourteen robust features are used by support vector machine classifier. The obtained accuracy, sensitivity and specificity are 83.57, 86.40 and 80.80%, respectively, for tenfold cross validation which outperforms the existing methods of glaucoma detection.
Starting Page	73
Ending Page	82
Page Count	10
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 1, Jan (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5297
Journal	IET Image Processing
Publisher Date	2018-10-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Band Image Biology And Medical Computing Biomedical Measurement And Imaging Biomedical Optical Imaging Combinatorial Mathematics Computer Vision And Image Processing Technique Concatenated Features Discrete Wavelet Discrete Wavelet Transform Diseases DWT Empirical Wavelet Transforms EWT Extracted Feature Eye Eye Disorder Feature Extraction Fourteen Robust Feature Fundus Image Glaucoma Detection Hybrid Concatenation Approach Image Classification Image Decomposition Integral Transforms Knowledge Engineering Technique Medical Image Processing Optic Nerve Fibre Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Progressive Deterioration Singular Value Decomposition Statistics Support Vector Machine Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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