Regularization of Discrete Contour by Willmore Energy

  • Authors:
  • E. Bretin;J. -O. Lachaud;É. Oudet

  • Affiliations:
  • CMAP, Ecole Polytechnique, Palaiseau, France 91128;Laboratoire de mathématiques, Université de Savoie, Le Bourget-du-lac, France 73376;Laboratoire de mathématiques, Université de Savoie, Le Bourget-du-lac, France 73376

  • Venue:
  • Journal of Mathematical Imaging and Vision
  • Year:
  • 2011

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Abstract

We propose a novel approach to reconstruct shapes from digital data. Contrarily to most methods, reconstructed shapes are smooth with a well-defined curvature field and have the same digitization as the input data: the range of application we have in mind is especially post-processing to image segmentation where labelled regions are digital objects. For this purpose, we introduce three new algorithms to regularize digital contours based on the minimization of Willmore energy: our first algorithm is based on tools coming from discrete geometry, the second is related to convex geometry while the third approach is a constrained phase field minimization. The three algorithms are described in details and the convergence of the phase field approach is investigated. We present a comparative evaluation of all three methods, in terms of the accuracy of curvature estimators and computation time.