Fast and Accurate Approximation of the Euclidean Opening Function in Arbitrary Dimension
Résumé
In this paper, we present a fast and accurate approximation of the Euclidean opening function which is a wide-used tool in morphological mathematics to analyze binary shapes since it allows us to define a local thickness distribution. The proposed algorithm can be defined in arbitrary dimension thanks to the existing techniques to compute the discrete power diagram.
Domaines
Traitement des images [eess.IV]Origine | Fichiers éditeurs autorisés sur une archive ouverte |
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