Segmentation, registration, and measurement of shape variation via image object shape

@article{Pizer1999SegmentationRA,
  title={Segmentation, registration, and measurement of shape variation via image object shape},
  author={Stephen M. Pizer and Daniel S. Fritsch and Paul A. Yushkevich and Valen E. Johnson and Edward L. Chaney},
  journal={IEEE Transactions on Medical Imaging},
  year={1999},
  volume={18},
  pages={851-865}
}
A model of object shape by nets of medial and boundary primitives is justified as richly capturing multiple aspects of shape and yet requiring representation space and image analysis work proportional to the number of primitives. Metrics are described that compute an object representation's prior probability of local geometry by reflecting variabilities in the net's node and link parameter values, and that compute a likelihood function measuring the degree of match of an image to that object… CONTINUE READING
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