A Mutual Reference Shape for Segmentation Fusion and Evaluation

  title={A Mutual Reference Shape for Segmentation Fusion and Evaluation},
  author={S. Jehan-Besson and R{\'e}gis Clouard and Christophe Tilmant and Alain De Cesare and Alain Lalande and Jessica Lebenberg and Patrick Clarysse and Laurent Sarry and Fr{\'e}d{\'e}rique Frouin and Mireille Garreau},
This paper proposes the estimation of a mutual shape from a set of different segmentation results using both active contours and information theory. The mutual shape is here defined as a consensus shape estimated from a set of different segmentations of the same object. In an original manner, such a shape is defined as the minimum of a criterion that benefits from both the mutual information and the joint entropy of the input segmentations. This energy criterion is justified using similarities… Expand


A mutual reference shape based on information theory
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Statistical shape influence in geodesic active contours
  • M. Leventon, W. Grimson, O. Faugeras
  • Mathematics, Computer Science
  • Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662)
  • 2000
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