Detection of Diabetic Retinopathy Using Colour Fundus Images

Karthika A, Nirmal Kumar K

Abstract:  The blood vessels are the part of the circulatory system that transports blood throughout the human body. There are three major types of blood vessels: the arteries, which carry the blood away from the heart; the capillaries which enable the actual exchange of water and chemicals between the blood and the tissues; and the veins, which carry blood from the capillaries back toward the heart. Blood vessels in images of the fundus Retinal blood vessel morphology can be an important indicator for diseases such as diabetes In this paper, we address the problem of identifying blood vessel segmentation and exudates segmentation.in this method we also used cany edge detection and neuro fuzzy classifier. Median filtering is used to remove blood vessels and bright regions other than the OD that affect segmentation.in this project contrast limited adaptive histogram equalization. Here median filter is used for getting exudates without noise. The segmentation technique is widely used by the radiologists to segment the input medical image into meaningful regions.

Keywords:  Contrast Limited Adaptive Histogram Equalization, Neuro Fuzzy classifier.

Title: Detection of Diabetic Retinopathy Using Colour Fundus Images

Author: Karthika A, Nirmal Kumar K

International Journal of Electrical and Electronics Research

ISSN 2348-6988 (online)

Research Publish Journals

Vol. 3, Issue 2, April 2015 - June 2015

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Detection of Diabetic Retinopathy Using Colour Fundus Images by Karthika A, Nirmal Kumar K