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Volumn 34, Issue 5, 2009, Pages 531-534

Texture segmentation based on a hierarchical Markov model in wavelet domain

Author keywords

Casual MRF model; GMRF; Multi objective optimization; Texture segmentation

Indexed keywords

BAYESIAN RULE; CASUAL MRF MODEL; GAUSS MARKOV RANDOM FIELDS; GMRF; HIERARCHICAL MODEL; MARKOV MODEL; MARKOV RANDOM FIELD; MULTI-OBJECTIVE PROBLEM SOLVING; PRIORI PROBABILITY; REMOTE SENSING IMAGES; SEGMENTATION ERROR RATE; TEXTURE IMAGE; TEXTURE SEGMENTATION; TEXTURED IMAGES; WAVELET COEFFICIENT VECTORS; WAVELET DOMAIN;

EID: 65749100971     PISSN: 16718860     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (6)
  • 1
    • 0028392841 scopus 로고
    • A Multi scale random field model for Bayesian image segmentation
    • Bouman C A, Shapiro M. A Multi scale random field model for Bayesian image segmentation [J]. IEEE Transactions on Image Processing, 1994, 3(2): 162-178
    • (1994) IEEE Transactions on Image Processing , vol.3 , Issue.2 , pp. 162-178
    • Bouman, C.A.1    Shapiro, M.2
  • 2
    • 65749112300 scopus 로고    scopus 로고
    • Chinese source
  • 3
    • 0035443990 scopus 로고    scopus 로고
    • Multiscale image segmentation using wavelet-domain hidden markov models
    • Choi H, Baraniuk R G. Multiscale image segmentation using wavelet-domain hidden markov models[J]. IEEE Transactions on Image Processing, 2001, 10(9): 1309-1321
    • (2001) IEEE Transactions on Image Processing , vol.10 , Issue.9 , pp. 1309-1321
    • Choi, H.1    Baraniuk, R.G.2
  • 4
    • 65749118020 scopus 로고    scopus 로고
    • Chinese source
  • 6
    • 65749090736 scopus 로고    scopus 로고
    • Chinese source


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.