Indian Journal of Public Health Research & Development
Year : 2017, Volume : 8, Issue : 3
First page : ( 474) Last page : ( 476)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2017.00251.0

Glaucoma Classification Based on Contourlet Transform

Rehman Syed Nazeebur¹, Hussain Mohameed Ali²

¹Research scholar, Information Technology, AMET University, Chennai

²Professor, Department of computer science, KL University, Vijayawada

Online published on 24 October, 2017.

Abstract

An ocular disorder caused due toimproved fluid pressure in the optic nerve is known as Glaucoma. It causes progressive degeneration of optic nerve fibers and leads to structural changes of the optic nerve and a simultaneous functional failure of the visual field. Automatic screening will help the doctors to quickly identify the condition of the patient in a more accurate way. Hence this research aims to develop an automatic system for the detection of glaucoma using digital fundus image based on Contourlet Transform (CT). Contourlets is used to form multiresolution directional tight frame designed to efficiently images made of smooth regions separated by smooth boundaries and texture features are obtained from the transform. These features are utilized by the classification of normal and glaucoma images using Support Vector Machine (SVM) classifier.

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Keywords

Glaucoma Classification, CT, Texture features, SVM.

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