Hierarchical Markov Random Fields for mast cell segmentation in electron microscopic recordings

@article{Keuper2011HierarchicalMR,
  title={Hierarchical Markov Random Fields for mast cell segmentation in electron microscopic recordings},
  author={Margret Keuper and Thorsten L Schmidt and Marta Rodriguez-Franco and Wolfgang Schamel and Thomas Brox and Hans Burkhardt and Olaf Ronneberger},
  journal={2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
  year={2011},
  pages={973-978}
}
We present a hierarchical Markov Random Field (HMRF) for multi-label image segmentation. With such a hierarchical model, we can incorporate global knowledge into our segmentation algorithm. Solving the MRF is formulated as a MAX-SUM problem for which there exist efficient solvers based on linear programming. We show that our method allows for automatic segmentation of mast cells and their cell organelles from 2D electron microscopic recordings. The presented HMRF outperforms classical MRFs as… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 10 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-10 OF 11 REFERENCES

Similar Papers

Loading similar papers…