Computer based identification of diabetes retinopathy using texture parameters Lachure Sagar S.*, Lachure Jaykumar S.**, Gupta Swati D.*** *Asst. Prof, Ycce, Nagpur **Student, GCOE, Amravati ***Student, RKNEC, Nagpur Online published on 22 April, 2015. Abstract Diabetic retinopathy is one of the diabetes-implicated diseases that are one of the major causes of preventable blindness in the world. It occurs when there is high concentration of glucose in the small blood vessels in the retina, damaging the eye and result in blurred vision or even blindness. For proper medical treatment and control to prevent condition from deteriorating, regular screening is essential in diagnosing the stages of diabetic retinopathy at an early stage Various methods have been researched with the common objective to achieve a cost and time effective classification of the fundus images to provide an immediate diagnosis of the retina, compared with the conventional method of using a specialised medical personnel in the visual identification of the images which is time consuming. With the increase number of people being diagnosed with the condition, the demand for eye screening will inevitably increase and so is the amount of images needed to be screen for diagnosis. Most automated identification methods are structural based analysis where classification is based on identification and recognition of patterned texture features. Top Keywords Texture, fundus, diagnosis, retina. Top |