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An Early Screening System for the Detection of Diabetic Retinopathy using Image Processing
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 61 - Number 15 |
| Year of Publication: 2013 |
| Authors: B. Ramasubramanian, G. Prabhakar |
10.5120/10002-4864
|
B. Ramasubramanian, G. Prabhakar . An Early Screening System for the Detection of Diabetic Retinopathy using Image Processing. International Journal of Computer Applications. 61, 15 ( January 2013), 6-10. DOI=10.5120/10002-4864
Abstract
Diabetic Retinopathy (DR) is a leading cause of vision loss. Exudates are one of the significant signs of diabetic retinopathy which is a main cause of blindness that could be prevented with an early screening process In our method, the knowledge of digital image processing is used to diagnose exudates from images of retina. An automatic system to detect and localize the presence of exudates from color fundus images with non-dilated pupils is proposed. First, the image is preprocessed and segmented using CIE Lab color space. The segmented image along with Optic Disc (OD) is chosen. Feature vector based on color and texture are extracted from the selected segment using GLCM . The selected feature vector are then classified as exudates and non-exudates using a K-Nearest Neighbors Classifier. Using a clinical reference model, images with exudates were detected with 97% success rate. The proposed method performs best by segmenting even smaller area of exudates.
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