Grid Color Moment Features in Glaucoma Classification

Abir Ghosh,Nilanjan Dey,Amira S,Anurag Sarkar,Valentina E,Dana Balas-Timar

doi:10.14569/ijacsa.2015.060913

Abstract

Automated diagnosis of glaucoma disease is focused on the analysis of the retinal images to localize, perceive and evaluate the optic disc. Clinical decision support system (CDSS) is used for glaucoma classification in human eyes. This process depends mainly on the feature type that can be morphological or non-morphological. It is originated in the retinal image analysis technique that used color feature, texture features, extract structure, or contextual. This work proposes an empirical study on a narrative automated glaucoma diagnosis classification system based on both Grid Color Moment method as a feature vector to extract the color features (non-morphological) and neural network classifier. Consequently, these features are fed to the back propagation neural network (BPNN) classifier for automated diagnosis. The proposed system was tested using an open RIM-ONE database with accurate gold standards of the optic nerve head. This work classifies both normal and abnormal defected retina with glaucoma images. The experimental results achieved an accuracy of 87.47%. Thus, the proposed system can detect the early glaucoma stage with good accuracy.

Highlights

Medical image processing is a promising domain that various researches try to develop as in [1,2,3,4,5,6,7,8,9,10]
It consists of 169 optic nerve head (ONH) images, where the images are divided into several classes as follows: normal 118 images, early glaucoma 12 images, moderate glaucoma 14 images, deep glaucoma 14 images and ocular hypertension (OHT) 11 images [35, 36]
While, defining the standard performance metrics, four parameters were adapted for performance analysis named the True Negative (TN), True Positive (TP), False Negative (FN) and False Positive (FP)

Summary

Introduction

Medical image processing is a promising domain that various researches try to develop as in [1,2,3,4,5,6,7,8,9,10]. Glaucoma is one of the main reasons for blindness worldwide that affect around 80 million people by 2020. It is a disease that damages the optic nerve (ON) due to incessant increase in the intraocular pressure (IOP) in the eye, which can lead to vision loss and cause blindness. Early diagnosis of glaucoma is necessary to prevent vision loss. Glaucoma is a significant cause of vision loss that excessively affects women and Asians [11]. Glaucoma enlarges the cup size, which affects the optic disc (OD). Where the Optic disc is the observable portion of the optic nerve from which the nerve fibers exit the eye [12]

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