Influence of the noise model on level set active contour segmentation

@article{Martin2004InfluenceOT,
  title={Influence of the noise model on level set active contour segmentation},
  author={Pascal Martin and Philippe R{\'e}fr{\'e}gier and François Goudail and Fr{\'e}d{\'e}ric Gu{\'e}rault},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2004},
  volume={26},
  pages={799-803}
}
We analyze level set implementation of region snakes based on the maximum likelihood method for different noise models that belong to the exponential family. We show that this approach can improve segmentation results in noisy images and we demonstrate that the regularization term can be efficiently determined using an information theory-based approach, i.e., the minimum description length principle. The criterion to be optimized has no free parameter to be tuned by the user and the obtained… CONTINUE READING
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Réfrégier, “Minimal-Complexity Segmentation with a Polygonal Snake Adapted to Different Optical Noise Models,

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