A morphologic three-stage approach for detecting exudates in color eye fundus images

An efficient detection of exudate lesions in color eye fundus images is an essential stage for grading the Diabetic Macular Edema automatically. In this work, we present a new automatic method based on mathematical morphology to locate exudate lesions. The proposed method was evaluated using the publicly available DIARETDB1 database, and it obtains 72.21% of mean sensitivity and 98.97% of mean specificity. This results indicate that our approach potentially can achieve a better performance than other known methods proposed in the literature.

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