WITHDRAWN: Retinal image classification by glaucoma based on ANFIS classifier

Abstract

Glaucoma is a disorder of eye and tends to permanent blindness when left undetected or untreated till final stage. Colour fundus images are the primary way to identify this disease. With the help of image features it can be classified as disease affected image and healthy image. The image is pre-processed by using CLAHE, ISODTA and kurtosis method. An approach to automatically classify the images by extracting features from a fundus image is essential. Identifying optical disc and optical cup from the retinal image and then analysing it to identify disease patterns are the steps to be evaluated. This paper approaches a method to classify the retinal image based on its disease pattern. This proposed model use neural network algorithm for classification. For prediction and extraction it uses features of an image. There are techniques implemented previously for classification namely fuzzy and state-of-art method. But these methods was unable to provide an accurate results over fast time. This proposed model eliminates the negative impacts of previous techniques successfully. Thus the proposed neural network based image classification method can be utilized in opthomologistical applications.