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An anisotropic bimodal energy for the segmentation of thin tubes and its approximation with Γ-convergence

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Veröffentlicht/Copyright: 14. Juli 2015

Abstract

This work is a contribution to the problem of detection of thin structures, namely tubes, in a 2D or 3D image. We introduce a variational bimodal model for the case where the histogram of the image has two main modes. This model involves an energy functional that depends on a function and a Riemannian metric. One of the terms of this energy is the anisotropic perimeter associated to the dual metric. We perform an approximation of this functional and prove that it Γ-converges to the original one.

MSC 2010: 49J45

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Received: 2014-11-14
Revised: 2015-3-31
Accepted: 2015-4-20
Published Online: 2015-7-14
Published in Print: 2016-7-1

© 2016 by De Gruyter

Heruntergeladen am 21.4.2026 von https://www.degruyterbrill.com/document/doi/10.1515/acv-2014-0039/html
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