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Volumn E86-D, Issue 10, 2003, Pages 2240-2248

Color Image Segmentation Using a Gaussian Mixture Model and a Mean Field Annealing EM Algorithm

Author keywords

Color image segmentation; Deterministic annealing EM; Gaussian mixture model; Log likelihood function; Markov random field; Mean field theory

Indexed keywords

ALGORITHMS; ANNEALING; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILITY; VECTORS;

EID: 0242494302     PISSN: 09168532     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (10)
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  • 2
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    • Clustering of magnetic resonance images
    • Department of Mathematics, University of Queensland
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    • McLachlan, G.J.1    Nguyen, S.K.2    Galloway, G.J.3    Wang, D.4
  • 5
    • 0032310565 scopus 로고    scopus 로고
    • Color- and texture-based image segmentation using the expectation-maximization algorithm and its application to content-based image retrieval
    • S. Belongie, C. Carson, H. Greenspan, and J. Malik, "Color- and texture-based image segmentation using the expectation-maximization algorithm and its application to content-based image retrieval," International Conference Computer Vision, pp.675-682, 1998.
    • (1998) International Conference Computer Vision , pp. 675-682
    • Belongie, S.1    Carson, C.2    Greenspan, H.3    Malik, J.4
  • 6
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    • Deterministic annealing EM algorithm
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  • 7
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    • Mean field annealing using compound Gauss-Markov random fields for edge detection and image estimation
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    • Zerubia, J.1    Chellappa, R.2
  • 8
    • 0032678711 scopus 로고    scopus 로고
    • Mean field decomposition of a posteriori probability for MRF-based unsupervided textured image segmentation
    • H. Noda, M.N. Shirazi, B. Zhang, and E. Kawaguchi, "Mean field decomposition of a posteriori probability for MRF-based unsupervided textured image segmentation," IMDSP, vol.6, pp.3477-3480, 1999.
    • (1999) IMDSP , vol.6 , pp. 3477-3480
    • Noda, H.1    Shirazi, M.N.2    Zhang, B.3    Kawaguchi, E.4
  • 9
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    • Pairwise data clustering by deterministic annealing
    • T. Hofmann and J.M. Buhman, "Pairwise data clustering by deterministic annealing," IEEE Trans. Pattern Anal. Mach. Intell., vol.19, no.l, pp.1-13, 1998.
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  • 10
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    • Unsupervised texture segmentation in a deterministic annealing framework
    • T. Hofmann, J. Puzicha, and J.M. Buhmann, "Unsupervised texture segmentation in a deterministic annealing framework," IEEE Trans. Pattern Anal. Mach. Intell., vol.20, no.8, pp.803-818, 1998.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.