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Volumn 14, Issue 9, 2003, Pages 1558-1563

Hierarchical Markov image model and its inference algorithm

Author keywords

Discrete hierarchical Markov random field; Half tree model; Iterative algorithm; Maximizer of the posterior marginals (MPM); Noniterative algorithm

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; ITERATIVE METHODS; MARKOV PROCESSES; MATHEMATICAL MODELS; TREES (MATHEMATICS);

EID: 0347513608     PISSN: 10009825     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (9)

References (7)
  • 1
    • 0031076642 scopus 로고    scopus 로고
    • Multiresolution Gauss-Markov random field models for texture segmentation
    • Krishnamachari S, Chellapa R. Multiresolution Gauss-Markov random field models for texture segmentation. IEEE Transactions on Image Processing, 1997, 6(2): 251-267.
    • (1997) IEEE Transactions on Image Processing , vol.6 , Issue.2 , pp. 251-267
    • Krishnamachari, S.1    Chellapa, R.2
  • 2
    • 0028204562 scopus 로고
    • Efficient multiscale regularization with applications to the computation of optical flow
    • Luettgen MR, Karl WC, Willsky AS. Efficient multiscale regularization with applications to the computation of optical flow. IEEE Transactions on Image Processing, 1994, 3(1): 41-64.
    • (1994) IEEE Transactions on Image Processing , vol.3 , Issue.1 , pp. 41-64
    • Luettgen, M.R.1    Karl, W.C.2    Willsky, A.S.3
  • 4
    • 0028392841 scopus 로고
    • A multiscale random field model for Bayesian image segmentation
    • Bouman CA, Shapiro M. A multiscale random field model for Bayesian image segmentation. IEEE Transactions on Image Processing, 1994, 3(2): 162-177.
    • (1994) IEEE Transactions on Image Processing , vol.3 , Issue.2 , pp. 162-177
    • Bouman, C.A.1    Shapiro, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.