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A coarse-to-fine strategy for automatically detecting exudates in color eye fundus images

Authors
Journal
Computerized Medical Imaging and Graphics
0895-6111
Publisher
Elsevier
Publication Date
Volume
34
Issue
3
Identifiers
DOI: 10.1016/j.compmedimag.2009.10.001
Keywords
  • Eye Fundus Image Analysis
  • Exudate Detection
  • Mathematical Morphology
  • Color Image Analysis
  • Diabetic Macular Edema
Disciplines
  • Mathematics

Abstract

Abstract The detection of exudates is a prerequisite for detecting and grading severe retinal lesions, like the diabetic macular edema. In this work, we present a new method based on mathematical morphology for detecting exudates in color eye fundus images. A preliminary evaluation of the proposed method performance on a known public database, namely DIARETDB1, indicates that it can achieve an average sensitivity of 70.48%, and an average specificity of 98.84%. Comparing to other recent automatic methods available in the literature, our proposed approach potentially can obtain better exudate detection results in terms of sensitivity and specificity.

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