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An Early Screening System for the Detection of Diabetic Retinopathy using Image Processing

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 61 - Number 15
Year of Publication: 2013
Authors:
B. Ramasubramanian
G. Prabhakar
10.5120/10002-4864

B Ramasubramanian and G Prabhakar. Article: An Early Screening System for the Detection of Diabetic Retinopathy using Image Processing. International Journal of Computer Applications 61(15):6-10, January 2013. Full text available. BibTeX

@article{key:article,
	author = {B. Ramasubramanian and G. Prabhakar},
	title = {Article: An Early Screening System for the Detection of Diabetic Retinopathy using Image Processing},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {61},
	number = {15},
	pages = {6-10},
	month = {January},
	note = {Full text available}
}

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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