Optimal Threshold Selection for Tomogram Segmentation by Projection Distance Minimization

@article{Batenburg2009OptimalTS,
  title={Optimal Threshold Selection for Tomogram Segmentation by Projection Distance Minimization},
  author={Kees Joost Batenburg and Jan Sijbers},
  journal={IEEE Transactions on Medical Imaging},
  year={2009},
  volume={28},
  pages={676-686}
}
Grey value thresholding is a segmentation technique commonly applied to tomographic image reconstructions. Many procedures have been proposed to optimally select the grey value thresholds based on the tomogram data only (e.g., using the image histogram). In this paper, a projection distance minimization (PDM) method is presented that uses the tomographic projection data to determine optimal thresholds. These thresholds are computed by minimizing the distance between the forward projection of… 

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