Decision support system for the glaucoma using Gabor transformation

U. Rajendra Acharya, E. Y.K. Ng, Lim Wei Jie Eugene, Kevin P. Noronha, Lim Choo Min, K. Prabhakar Nayak, Sulatha V. Bhandary

Research output: Contribution to journalArticle

57 Citations (Scopus)

Abstract

Increase in intraocular pressure (IOP) is one of the causes of glaucoma which can lead to blindness if not detected and treated at an early stage. Glaucoma symptoms are not always obvious; hence patients seek treatment only when the condition progressed significantly. Early detection and treatment will decrease the chances of vision loss due to glaucoma. This paper proposes a novel automated glaucoma diagnosis method using various features extracted from Gabor transform applied on digital fundus images. In this work, we have used 510 images to classify into normal and glaucoma classes. Various features namely mean, variance, skewness, kurtosis, energy, and Shannon, Rényi, and Kapoor entropies are extracted from the Gabor transform coefficients. These extracted features are subjected to principal component analysis (PCA) to reduce the dimensionality of the features. Then these features are ranked using various ranking methods namely: Bhattacharyya space algorithm, t-test, Wilcoxon test, Receiver Operating Curve (ROC), and entropy. In this work, t-test ranking method yielded the highest performance with an average accuracy of 93.10%, sensitivity of 89.75% and specificity of 96.20% using 23 features with Support Vector Machine (SVM) classifier. Also, we have proposed a Glaucoma Risk Index (GRI) developed using principal components to classify the two classes using just one number.

Original languageEnglish
Pages (from-to)18-26
Number of pages9
JournalBiomedical Signal Processing and Control
Volume15
DOIs
Publication statusPublished - 01-01-2015

Fingerprint

Decision support systems
Glaucoma
Entropy
Patient treatment
Principal component analysis
Support vector machines
Classifiers
Blindness
Principal Component Analysis
Intraocular Pressure
Sensitivity and Specificity
Therapeutics

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Health Informatics

Cite this

Acharya, U. R., Ng, E. Y. K., Eugene, L. W. J., Noronha, K. P., Min, L. C., Nayak, K. P., & Bhandary, S. V. (2015). Decision support system for the glaucoma using Gabor transformation. Biomedical Signal Processing and Control, 15, 18-26. https://doi.org/10.1016/j.bspc.2014.09.004
Acharya, U. Rajendra ; Ng, E. Y.K. ; Eugene, Lim Wei Jie ; Noronha, Kevin P. ; Min, Lim Choo ; Nayak, K. Prabhakar ; Bhandary, Sulatha V. / Decision support system for the glaucoma using Gabor transformation. In: Biomedical Signal Processing and Control. 2015 ; Vol. 15. pp. 18-26.
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Decision support system for the glaucoma using Gabor transformation. / Acharya, U. Rajendra; Ng, E. Y.K.; Eugene, Lim Wei Jie; Noronha, Kevin P.; Min, Lim Choo; Nayak, K. Prabhakar; Bhandary, Sulatha V.

In: Biomedical Signal Processing and Control, Vol. 15, 01.01.2015, p. 18-26.

Research output: Contribution to journalArticle

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