Automated Computer Aided Detection of Cataract

A common eye diseases named as cataract can cause blindness. It normally affects the central vision of the person and in some cases causes severe blindness depending upon its stage. Cataract is one of the diseases of eye in which the clouding of the lens occur which leads to the permanent blindness if not detected and treated on time. Now a day’s cataract is being diagnosed by initially dilating the pupil and afterwards examining the eye through the slit lamp. Computer Aided Diagnostic (CAD) systems with their mobility of usage in low resource settings can be very useful for the detection of cataract. For the detection of cataract through CAD system, the picture of the patient with retina in focus, is accessed and our proposed method localizes the iris and pupil of the eye. Texture analysis of the obtained image is performed enabling us to tell whether the eye is normal or it has cataract. The system is developed and tested using locally gathered dataset of cataract.