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In this paper the new method for automatic segmentation of microaneurysms from fundus eye images is proposed. It relies on methods from mathematical grayscale morphology. The new HitAndMiss transformation has been defined forthe detection of markers of watershed transformation.
In this paper the method for automatic segmentation of exudates from fundus eye images is proposed. The method is composed of the following steps: 1) preprocessing, 2) finding marker image and 3) geodesic reconstraction. The mean sensitivity is 95%.
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