A Model-Based Approach for Automated Feature Extraction in Fundus Images

Authors:
Huiqi Li;Opas Chutatape
Affiliations:
-;-
Venue:
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Year:
2003

Citing 0
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Abstract

A new approach to automatically extract the main features in colorfundus images are proposed in this paper. Optic disk is localizedby the principal component analysis (PCA) and its shape is detectedby a modified active shape model (ASM). Exudates are extracted bythe combined region growing and edge detection. A fundus coordinatesystem is further set up based on the fovea localization to providea better description of the features in fundus images. The successrates achieved are 99%, 94%, and 100% for disk localization, diskboundary detection, and fovea localization respectively. Thesensitivity and specificity for exudate detection are 100% and 71%.The success of the proposed algorithms can be attributed to theutilization of the model-based methods.