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This paper describes a new method for the calculation of the retinal vessel centerlines using a scale-space approach for an increased reliability and effectiveness. The algorithm begins with a new vessel detector description method based on a modified corner detector. Then the vessel detector image is filtered with a set of binary rotating filters, resulting in enhanced vessels structures. The main...
In this paper, a segmentation method of the retinal images exudates is proposed. First, pixels that belong to exudates are located using the scale-space extrinsic curvature. These candidate points, are used together with the mean curvature to select possible exudates patches. True exudates are selected using the local maxima blob response through dynamical threshold, which will represent the final...
In this work a robust and fully automatic method for the detection of hard exudates and soft exudates in ocular fundus images is proposed. Ocular fundus images are represented in scale-space and the curvature is computed in each scale. Curvature extremes locations are determined and then selected with dynamic thresholding in each scale. Those extremes are tracked along the scale-space and their initial...
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