Detection and differentiation of retinal exudates in color retinal images

Authors

Abstract

Diabetic retinopathy early is not usually perceivable in patients with diabetic. Their first signs, like micro-aneurysms, often are unnoticed in preliminary test due to its difficult detection by means specialists. In addition, its presence is necessarily not directly related to diabetic retinopathy, since there are others pathologies that may also cause those. Until the detection of the presence of exudates, a specialist can deduce the presence of diabetic retinopathy. This paper presents a method to assist the identification and differentiation of exudates on color retinal images based on a variety of k-nn filters. The proposed method proved to be a sensitive and specific detection of bright lesions, able to determine with sufficient certainty, a possible injury, with a specificity of 99%.

Author Biographies

  • Germán Sánchez Torres, University of Magdalena

    Docente Universidad del Magdalena, Facultad de Ingeniería. Magister en Ingeniería de Sistemas, Universidad Nacional de Colombia.

  • Jorge Rudas Castaño, University of Magdalena

    Ingeniero de Sistemas, Universidad del Magdalena (Colombia).

  • Ricardo Toscano Cuello, University of Magdalena

    Ingeniero de Sistemas, Universidad del Magdalena (Colombia).

Published

2011-12-11

How to Cite

[1]
“Detection and differentiation of retinal exudates in color retinal images”, Ing. y Des., vol. 29, no. 2, pp. 224–241, Dec. 2011, Accessed: Oct. 23, 2026. Available: https://rcientificas.uninorte.edu.co/ingenieria/article/view/3620