Indian Journal of Public Health Research & Development
Year : 2018, Volume : 9, Issue : 10
First page : ( 1076) Last page : ( 1079)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2018.01279.2

The glaucoma image classification using texture features for SVM classifier

Lebaka Sivaprasad¹, Sreelatha Tammineni¹, Reddy K. Venkatramana¹

¹Asst. Prof, Dept. of ECE, Sri Venkateswara College of Engineering and Technology, Chittoor, Andhra Pradesh, India

Online published on 1 November, 2018.

Abstract

The most dangerous cause that occurs blindness is glaucoma; the aging society is mostly affected by this defect. It causes due to the increase of pressure in the optic nerve, and it causes more damage to the optic nerve. The accurate and efficient glaucoma classification can be pursued by the texture features in the images. The texture feature extraction around the optic cup shows the precise results for the identification and classification of glaucoma. From the texture feature extraction, the Support Vector Machine (SVM) classifier used to classify the result. The high level accuracy on different images is done by the classification method. The results show the accuracy of this method.

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Keywords

Glaucoma, Texture Feature Extraction, Classification, SVM classifier.

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