A cluster grouping technique for texture segmentation

Proceedings - International Conference on Pattern Recognition

Volumn 15, Issue 3, 2000, Pages 1060-1063

  Manduchi, Roberto ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MAXIMUM PRINCIPLE; SPEECH RECOGNITION;

CLUSTER-GROUPING; DIVIDE AND CONQUER; EXPECTATION - MAXIMIZATIONS; GAUSSIAN CLUSTERS; POSTERIOR DISTRIBUTIONS; SPATIAL CORRELATIONS; STATISTICAL MODELING; TEXTURE SEGMENTATION;

IMAGE SEGMENTATION;

EID: 33750910361     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (6)

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3. R. Manduchi. Bayesian fusion of texture and color segmentations. Proc. ICCV, 956-962, Kerkyra, 1999.
4. G.J. McLachlan, T. Krishnan. The EM algorithm and extensions. John Wiley and Sons, 1997.
5. J. Zhang, J.W. Modestino, and D.A. Langan. Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation. IEEE Trans. Image Proc., 3(4), 404-420, July 1994.
6. J. Zhang and J.W. Modestino. The mean-field theory in EM procedures for Markov random fields. Proc. IEEE ISIT, Budapest, 1991.