The Chan-Vese Model with Elastica and Landmark Constraints for Image Segmentation

27 May 2019Jintao SongHuizhu PanWuanquan LiuZisen XuZhenkuan Pan

In order to completely separate objects with large sections of occluded boundaries in an image, we devise a new variational level set model for image segmentation combining the Chan-Vese model with elastica and landmark constraints. For computational efficiency, we design its Augmented Lagrangian Method (ALM) or Alternating Direction Method of Multiplier (ADMM) method by introducing some auxiliary variables, Lagrange multipliers, and penalty parameters... (read more)

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