A variationally based weighted re-initialization method for geometric active contours

  • Authors:

  • S. Merino-Caviedes;G. Vegas-Sánchez;M. T. Pérez;S. Aja-Fernández;M. Martín-Fernández

  • Affiliations:

  • Laboratory of Image Processing, University of Valladolid, Spain;Laboratory of Image Processing, University of Valladolid, Spain;Department of Applied Mathematics, University of Valladolid, Spain;Laboratory of Image Processing, University of Valladolid, Spain;Laboratory of Image Processing, University of Valladolid, Spain

  • Venue:
  • ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
  • Year:
  • 2010

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Abstract

In geometric active contour algorithms, a re-initialization step must be performed by the level set function to remain close to a signed distance function, in order to avoid numerical instabilities. We propose a new re-initialization method that may be employed as a standalone method to recover the signed distance condition, or may be embedded directly into a variational framework as an additional term for the energy functional. Its purpose is to make the pixels near the propagating contour be less affected by the re-initialization. Experimental results show that whereas previous approaches change the position of the zero level set, our method keeps it virtually unchanged.