Nonparametric shape priors for active contour-based image segmentation

@article{Kim2005NonparametricSP,
  title={Nonparametric shape priors for active contour-based image segmentation},
  author={Junmo Kim and M{\"u}jdat Çetin and Alan S. Willsky},
  journal={2005 13th European Signal Processing Conference},
  year={2005},
  pages={1-4}
}
When segmenting images of low quality or with missing data, statistical prior information about the shapes of the objects to be segmented can significantly aid the segmentation process. However, defining probability densities in the space of shapes is an open and challenging problem. In this paper, we propose a nonparametric shape prior model for image segmentation problems. In particular, given example training shapes, we estimate the underlying shape distribution by extending a Parzen density… CONTINUE READING
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