Segmentation Framework Based on Label Field Fusion

  title={Segmentation Framework Based on Label Field Fusion},
  author={Pierre-Marc Jodoin and Max Mignotte and Christophe Rosenberger},
  journal={IEEE Transactions on Image Processing},
In this paper, we put forward a novel fusion framework that mixes together label fields instead of observation data as is usually the case. Our framework takes as input two label fields: a quickly estimated and to-be-refined segmentation map and a spatial region map that exhibits the shape of the main objects of the scene. These two label fields are fused together with a global energy function that is minimized with a deterministic iterative conditional mode algorithm. As explained in the paper… CONTINUE READING
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