ISMDA '02 Proceedings of the Third International Symposium on Medical Data Analysis
Detection of microaneurysms using multi-scale correlation coefficients
Pattern Recognition
A local adaptive algorithm for microaneurysms detection in digital fundus images
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
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In this paper a method for automatic detection of Micro-aneurysms in digital angiograms of the eye fundus is described. These lesions of the human retina, a characteristic of the earliest phases of diabetic retinopathy, present themselves in the angiographic images as small, round, hyper-fluorescent objects. The proposed method includes initial pre-processing and enhancement steps, followed by object segmentation. In the final phase, micro-aneurysms are validated using two new criteria based on local intensity, contrast and shape relations. The combination of these local features with global image parameters makes possible a high degree of independence from image intensity characteristics.