CATARACT DETECTION USING DIGITAL CAMERA IMAGES

Abstract

Cataracts, a common eye condition, are a major cause of vision problems worldwide. Finding cataracts early is important so that they can be treated right away.Slit lamps and fundus cameras are two common instruments used to detect cataracts; both are very expensive and require domain expertise.Therefore Cataract may remain undetected at early stages, and when detected at later stages it need expensive medical intervention. In this paper we propose a novel approach for cataract detection from digital images which is a solution to the above mentioned problem. Here we utilize a Convolutional Neural Network (CNN) model for image classification. Use of smartphones for capturing images and detection of cataract lead to simple and easily accessible solution to cataract detection to common people.