Automatic detection of microaneurysms and hemorrhages in digital fundus images

Giri Babu Kande, T Satya Savithri, P Venkata Subbaiah
Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology 2010, 23 (4): 430-7
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%.


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