Supervised, hysteresis-based segmentation of retinal images using the linear-classifier percentile
Alexandru Paul Condurache
, Alfred Mertins
and Til Aach
Abstract
Image segmentation can be seen as a pattern classification problem, where each pixel is assigned, on the basis of, e.g., its gray level, either to the object or to the background class. In this setup, vessel segmentation is characterized by large class skew, as there are usually far more background pixels than vessel pixels and by weak separability, as there is a strong overlap between the two classes. The proposed hys-
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