Active shape model segmentation with optimal features

@article{Ginneken2002ActiveSM,
  title={Active shape model segmentation with optimal features},
  author={Bram van Ginneken and Alejandro F. Frangi and Joes Staal and Bart M. ter Haar Romeny and Max A. Viergever},
  journal={IEEE Transactions on Medical Imaging},
  year={2002},
  volume={21},
  pages={924-933}
}
An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the original formulation [Cootes and Taylor, 1995, 1999, and 2001]. A nonlinear kNN-classifier is used, instead of the linear Mahalanobis distance, to find optimal displacements for landmarks. For each of the landmarks that describe the shape, at each resolution level taken into account during the segmentation optimization procedure, a… CONTINUE READING
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