Meaningful Scales Detection: an Unsupervised Noise Detection Algorithm for Digital Contours
Identifieur interne : 000B77 ( Main/Merge ); précédent : 000B76; suivant : 000B78Meaningful Scales Detection: an Unsupervised Noise Detection Algorithm for Digital Contours
Auteurs : Bertrand Kerautret [France] ; Jacques-Olivier Lachaud [France]Source :
Abstract
This work presents an algorithm which permits to detect locally on digital contours what is the amount of noise estimated from a given maximal scale. The method is based on the asymptotic properties of the length of the maximal segment primitive.
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DOI: 10.5201/ipol.2014.75
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<front><div type="abstract" xml:lang="en">This work presents an algorithm which permits to detect locally on digital contours what is the amount of noise estimated from a given maximal scale. The method is based on the asymptotic properties of the length of the maximal segment primitive.</div>
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