title: Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy.
abstract: An automatic method to detect hard exudates, a lesion associated with diabetic retinopathy, is proposed. The algorithm found on their color, using a statistical classification, and their sharp edges, applying an edge detector, to localize them. A sensitivity of 79.62% with a mean number of 3 false positives per image is obtained in a database of 20 retinal image with variable color, brightness and quality. In that way, we evaluate the robustness of the method in order to make adequate to a clinical environment. Further efforts will be done to improve its performance.
authors.affiliation: Dep. de Teoria de Ia Senal y Comunicaciones, Valladolid University, Spain.
authors.forename: C I
authors.initials: CI
authors.lastname: Sánchez
authors.forename: R
authors.initials: R
authors.lastname: Hornero
authors.forename: M I
authors.initials: MI
authors.lastname: López
authors.forename: J
authors.initials: J
authors.lastname: Poza