A Variational Framework for Multi-Region Pairwise Similarity-based Image Segmentation

@inproceedings{Bertelli2007AVF,
  title={A Variational Framework for Multi-Region Pairwise Similarity-based Image Segmentation},
  author={Luca Bertelli and Baris Sumengen and B. S. Manjunath and Fr{\'e}d{\'e}ric Gibou},
  year={2007}
}
Variational cost functions that are based on pairwise similarity between pixels can be minimized within level set framework resulting in a binary image segmentation. In this paper we extend such cost functions and address multi-region image segmentation problem by employing a multi-phase level set framework. For multi-modal images cost functions become more complicated and relatively difficult to minimize. We extend our previous work [1], proposed for background/foreground separation, to the… CONTINUE READING

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