Title :
An adaptive contrast method for segmentation of drusen
Author :
Sbeh, Z.B. ; Cohen, Laurent D. ; Mimoun, Gérard ; Coscas, Gabriel ; Soubrane, Giséle
Author_Institution :
CEREMADE, Univ. Paris 9, France
Abstract :
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-∞” 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
Keywords :
adaptive signal processing; eye; image segmentation; mathematical morphology; medical image processing; parameter estimation; patient diagnosis; transforms; adaptive algorithm; adaptive contrast method; angiographic eye fundus images; automatic extraction; bright blobs; contrast parameter; drusen; image segmentation; mathematical morphology transforms; maxima h-∞ transform; nonconstant function; uniform background; yellowish deposits extraction; Adaptive algorithm; Image edge detection; Image segmentation; Law; Legal factors; Morphology; Pigmentation; Retina; Shape; Testing;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.647753