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Figure-ground discrimination by mean field annealing

  • Laurent Hérault
  • Radu Horaud
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 588)

Abstract

We formulate the figure-ground discrimination problem as a combinatorial optimization problem. We suggest a cost function that makes explicit a definition of shape based on interactions between image edges. These interactions have some mathematical analogy with interacting spin systems — a model that is well suited for solving combinatorial optimization problems. We devise a mean field annealing method for finding the global minimum of such a spin system and the method successfully solves for the figure-ground problem.

Keywords

Combinatorial Optimization Problem Synthetic Image Image Element Field Annealing Recursive Neural Network 
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 1992

Authors and Affiliations

  • Laurent Hérault
    • 1
  • Radu Horaud
    • 2
  1. 1.CEA-LETIGrenoble
  2. 2.LIFIA-IRIMAGGrenobleFrance

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