Indian Journal of Science and Technology

Abstract

Objective: To detect the retinopathy in patients who are suffering from long term diabetes. This Diabetic Retinopathy (DR) causes the blindness in aged population. Methods: Initially, RGB retina image is to be converted into a gray scale image. Contrast Limited Adaptive Histogram Equalization (CLAHE) is performed on this gray scale image to adjust the different intensity variations to uniform intensity. Findings: Then morphological opening operation is performed to remove the background noise and to enhance blood vessels. Later, perimeter is extracted from morphed image by using canny edge detection. After this, graythresholding is performed on morphed image for extracting area. Then the resultant image shows the retinopathy. By following the above steps the retinopathy in diabetic patients can be detected easily. Application: This study is simple, suitable, sophisticated and an automated approach to detect DR using image processing techniques. The resultant image will give more segmented details for further diagnosis.  

Keywords: Canny Edge Detection, Diabetic Retinopathy, Morphological Opening, Thresholding, CLAHE