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Volumn 1, Issue , 2004, Pages 596-599

Bayesian image segmentation based on an inhomogeneous hidden Markov random field

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; INFORMATION RETRIEVAL; MARKOV PROCESSES; OPTIMIZATION; PARAMETER ESTIMATION; PROBABILITY;

EID: 10044253541     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (9)
  • 2
    • 0000013152 scopus 로고
    • On the statistical analysis of dirty pictures
    • J. Besag, "On the Statistical Analysis of Dirty Pictures", J. Roy. Statist. Soc. B, 48(3), 1985, pp. 259-302.
    • (1985) J. Roy. Statist. Soc. B , vol.48 , Issue.3 , pp. 259-302
    • Besag, J.1
  • 3
    • 10044260784 scopus 로고    scopus 로고
    • Modelling of inhomogeneous Markov random fields with applications to cloud screening
    • I. Cadez and P. Smyth, "Modelling of Inhomogeneous Markov Random Fields with Applications to Cloud Screening", University of California, Technical Report UCI-ICS 98-21, 1998.
    • (1998) University of California, Technical Report , vol.UCI-ICS 98-21
    • Cadez, I.1    Smyth, P.2
  • 4
    • 0037209490 scopus 로고    scopus 로고
    • EM procedures using mean field-like approximations for Markov model-based image segmentation
    • G. Celeux, F. Forbes, and N. Peyrard, "EM Procedures Using Mean Field-Like Approximations for Markov Model-Based Image Segmentation", Pattern Recognition, 36, 2003, pp. 131-144.
    • (2003) Pattern Recognition , vol.36 , pp. 131-144
    • Celeux, G.1    Forbes, F.2    Peyrard, N.3
  • 5
    • 0032630688 scopus 로고    scopus 로고
    • Estimating guassina Markov random field parameters in a nonstationary framework: Application to remote sensing image
    • X. Descombes, M. Sigelle, and F. Preteux, "Estimating Guassina Markov Random Field Parameters in a Nonstationary Framework: Application to Remote Sensing Image", IEEE Trans. on IP, 8, 1999, pp. 490-503.
    • (1999) IEEE Trans. on IP , vol.8 , pp. 490-503
    • Descombes, X.1    Sigelle, M.2    Preteux, F.3
  • 6
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions, and the bayesian restoration of images
    • S. Geman and D. Geman, "Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images", IEEE Trans. on PRMI, 6, 1984, pp. 721-741.
    • (1984) IEEE Trans. on PRMI , vol.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 7
    • 0033623981 scopus 로고    scopus 로고
    • Parametric estimate of intensity inhomogeneities applied to MRI
    • M. Styner, C. Brechbuhler, and G. Szekely, "Parametric Estimate of Intensity Inhomogeneities applied to MRI", IEEE Trans. on MI, 19(3), 2000, pp. 153-165.
    • (2000) IEEE Trans. on MI , vol.19 , Issue.3 , pp. 153-165
    • Styner, M.1    Brechbuhler, C.2    Szekely, G.3
  • 8
    • 0026938712 scopus 로고
    • The mean field theory in EM procedures for Markov random fields
    • J. Zhang, "The Mean Field Theory in EM Procedures for Markov Random Fields", IEEE Trans. on SP, 40(3), 1992, pp. 2570-2583.
    • (1992) IEEE Trans. on SP , vol.40 , Issue.3 , pp. 2570-2583
    • Zhang, J.1
  • 9
    • 0034745001 scopus 로고    scopus 로고
    • Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
    • Y. Zhang, M. Brady, and S. Smith, "Segmentation of Brain MR Images through a Hidden Markov Random Field Model and the Expectation-Maximization Algorithm", IEEE Trans. on MI, 20(1), 2001, pp. 45-57.
    • (2001) IEEE Trans. on MI , vol.20 , Issue.1 , pp. 45-57
    • Zhang, Y.1    Brady, M.2    Smith, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.