An adaptive contrast method for segmentation of drusen
Zakaria Ben Sbeh, Laurent David Cohen, G. Mimoun, GABRIEL J. COSCAS, Gisèle Soubrane · 2002
The goal of this article is the segmentation of angiographic eye fundus images in order to extract "drusen", yellowish deposits at the retina level. Since classical segmentation methods are not efficient for the automatic extraction of drusen, we introduce a new adaptive approach. We give an adaptive algorithm based on mathematical morphology transforms. For the "maxima h-/spl infin/" transform, we propose an automatic definition of the contrast parameter h. We also introduce an approach with a non-constant function, h(x). The result highlights the bright blobs over an uniform background. Our method gives very satisfying results on typical images.