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Combination of Piecewise-Geodesic Curves for Interactive Image Segmentation

  • Julien MilleEmail author
  • Sébastien Bougleux
  • Laurent D. Cohen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9213)

Abstract

Boundary-based interactive image segmentation methods aim to build a closed contour, very often using paths linking a set of user-provided landmark points, ordered along the contour of the object of interest. Among these methods, the geodesically-linked active contour (GLAC) model generates a piecewise-geodesic curve, by linking each pair of successive landmark points by a geodesic curve. As an important shortcoming, the geodesically linked active contour model in its initial formulation does not guarantee the curve to be simple. It may have multiple points, creating self-tangencies and self-intersections, which is inconsistent with respect to the purpose of segmentation. To overcome this issue, we study some properties of non-simple closed curves and introduce a novel energy term to quantity the amount of non-simplicity. We propose to extract a relevant contour from a set of possible paths, such that the resulting structure fits the image data and is simple. We develop a local search method to choose the best combination among possible paths, integrating the novel energy term.

Keywords

Active Contour Double Point Minimal Path Active Contour Model Region Term 
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.

Supplementary material

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Julien Mille
    • 1
    Email author
  • Sébastien Bougleux
    • 2
  • Laurent D. Cohen
    • 3
  1. 1.CNRS Université Lyon 1, LIRIS UMR5202Université de LyonLyonFrance
  2. 2.CNRS, GREYC, UMR6072Université de Caen-Basse NormandieCaenFrance
  3. 3.CNRS, CEREMADE, UMR7534Université Paris DauphineParisFrance

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