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Levelset and B-Spline Deformable Model Techniques for Image Segmentation: A Pragmatic Comparative Study

  • Diane Lingrand
  • Johan Montagnat
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)

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.

Keywords

Image Segmentation Active Contour Deformable Model Active Contour Model Uniform Background 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Diane Lingrand
    • 1
  • Johan Montagnat
    • 1
  1. 1.Rainbow Team, I3S Laboratory UMR 6070 UNSA/CNRSSophia Antipolis CedexFrance

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