Research Papers: Imaging

Decision support system for the detection and grading of hard exudates from color fundus photographs

[+] Author Affiliations
Hussain F. Jaafar, Asoke K. Nandi, Waleed Al-Nuaimy

University of Liverpool, Department of Electrical Engineering and Electronics, Brownlow Hill, Liverpool, L69 3GJ United Kingdom

J. Biomed. Opt. 16(11), 116001 (October 26, 2011). doi:10.1117/1.3643719
History: Received June 09, 2011; Revised August 27, 2011; Accepted September 06, 2011; Published October 26, 2011; Online October 26, 2011
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Diabetic retinopathy is a major cause of blindness, and its earliest signs include damage to the blood vessels and the formation of lesions in the retina. Automated detection and grading of hard exudates from the color fundus image is a critical step in the automated screening system for diabetic retinopathy. We propose novel methods for the detection and grading of hard exudates and the main retinal structures. For exudate detection, a novel approach based on coarse-to-fine strategy and a new image-splitting method are proposed with overall sensitivity of 93.2% and positive predictive value of 83.7% at the pixel level. The average sensitivity of the blood vessel detection is 85%, and the success rate of fovea localization is 100%. For exudate grading, a polar fovea coordinate system is adopted in accordance with medical criteria. Because of its competitive performance and ability to deal efficiently with images of variable quality, the proposed technique offers promising and efficient performance as part of an automated screening system for diabetic retinopathy.

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© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation

Hussain F. Jaafar ; Asoke K. Nandi and Waleed Al-Nuaimy
"Decision support system for the detection and grading of hard exudates from color fundus photographs", J. Biomed. Opt. 16(11), 116001 (October 26, 2011). ; http://dx.doi.org/10.1117/1.3643719


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