Detection of Cataract and Conjunctivitis Disease Using Histogram of Oriented Gradient

Abstract

The eye is a standout amongst the most critical tangible organs in the human body which comprise of pupil, iris and sclera. Eye disease is a typical medical problem around the globe. Considering the most widely recognized eye illnesses like cataract, conjunctivitis. Cataract causes a kind of blurring on the focal point prompting to diminished vision and if kept untreated for long prompts to lasting visual impairment. Conjunctivitis or pink eye is a condition where the conjunctiva of the eye is aggravated by an infection or by an allergic reaction. There are different automatic cataract, conjunctivitis recognition and order strategies accessible today. In this paper, preprocessing is done for specified eye disease images which is followed by feature extraction and classification. The image is classified as cataract disease, conjunctivitis disease and normal eye using minimum distance classifier.