DocumentCode
3530873
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
Volume
1
fYear
1997
fDate
26-29 Oct 1997
Firstpage
255
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1997. Proceedings., International Conference on
Conference_Location
Santa Barbara, CA
Print_ISBN
0-8186-8183-7
Type
conf
DOI
10.1109/ICIP.1997.647753
Filename
647753
Link To Document