An efficient approach for automatic detection of red lesions in ocular fundus images based on pixel classification and mathematical morphology is proposed. Experimental evaluation of the proposed approach demonstrates better performance over other red lesion detection algorithms, and when determining whether an image contains red lesions the proposed approach achieves a sensitivity of 100% and specificity of 91%. Copyright © 2010 by Society for Imaging Informatics in Medicine.
cited By (since 1996)5
G. Ba Kande, Savithri, T. Sb, and Subbaiah, P. Vc, “Automatic detection of microaneurysms and hemorrhages in digital fundus images”, Journal of Digital Imaging, vol. 23, pp. 430-437, 2010.