Levelset and b-spline deformable model techniques for image segmentation: a pragmatic comparative study

  • Authors:
  • Diane Lingrand;Johan Montagnat

  • Affiliations:
  • Rainbow Team, I3S Laboratory UMR 6070 UNSA/CNRS, Sophia Antipolis Cedex, France;Rainbow Team, I3S Laboratory UMR 6070 UNSA/CNRS, Sophia Antipolis Cedex, France

  • Venue:
  • SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
  • Year:
  • 2005

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Abstract

Deformable contours are now widely used in image segmentation, using different models, criteria and numerical schemes. Some theoretical comparisons between some deformable model methods have already been published [1]. Yet, very few experimental comparative studies on real data have been reported. In this paper, we compare a levelset with a B-spline based deformable model approach in order to understand the mechanisms involved in these widely used methods and to compare both evolution and results on various kinds of image segmentation problems. In general, both methods yield similar results. However, specific differences appear when considering particular problems.