SEARCH

SEARCH BY CITATION

References

  • [1]
    L. Ambrosio and V. Tortorelli, Communications on Pure and Applied Mathematics 43, 999–1036 (1990).
  • [2]
    H. Rue and L. Held, Journal of the Royal Statistical Society, Series B 63, 325–338 (2000).
  • [3]
    K. Krajsek, I. Dedovic, and H. Scharr, An estimation theoretical approach to Ambrosio-Tortorelli image segmentation, in: Proceedings of the 33rd DAGM Symposium on Pattern Recognition (DAGM), (2011), pp. 41–50.
  • [4]
    S. Geman and D. Geman, IEEE Transactions on Pattern Analysis and Machine Intelligence 6, 877–885 (1984).
  • [5]
    A. E. Gelfand and A. F. M. Smith, Journal of the American Statistical Association 85(410), 398–409 (1990).
  • [6]
    L. Tierney, Annals of Statistics 22, 1701–1762 (1994).
  • [7]
    T. E. Harris, The existence of stationary measures for certain Markov processes, in: Proceedings of the 3rd Berkeley Symposium on Mathematical Statistics and Probability, (1956), pp. 113–124.
  • [8]
    D. Mumford and J. Shah, Communications on Pure and Applied Mathematics 42(5), 577–685 (1989).
  • [9]
    T. Pätz and T. Preusser, Ambrosio-Tortorelli segmentation of stochastic images, in: Proceedings of the 11th European Conference on Computer Vision (ECCV), (2010), pp. 254–267.
  • [10]
    S. Meyn and R. L. Tweedie, Markov Chains and Stochastic Stability, 2nd edition (Cambridge University Press, New York, NY, USA, 2009).