Copulas in vectorial Hidden Markov chains for multicomponent image segmentation

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn II, Issue , 2005, Pages

  Brunel, Nicolas ^a   Pieczynski, Wojciech ^a   Derrode, Stéphane ^b  

^a INSTITUT TELECOM   (France)

^b AIX MARSEILLE UNIVERSITÉ   (France)

Author keywords

[No Author keywords available]

Indexed keywords

MULTICOMPONENT IMAGE SEGMENTATION; MULTIVARIATE ANALYSIS; MULTIVARIATE MODELS;

IMAGE PROCESSING; INDEPENDENT COMPONENT ANALYSIS; MARKOV PROCESSES; PARAMETER ESTIMATION; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DENSITY FUNCTION; STATISTICAL METHODS; VIDEO SIGNAL PROCESSING;

IMAGE SEGMENTATION;

EID: 33646774338     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1415505     Document Type: Conference Paper

References (8)

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3. L. R. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proc. of IEEE, vol. 77, no. 2, pp. 257-286, February 1989.
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7. H. Joe, Multivariate models and dependence concepts, vol. 73 of Monographs on Stat. and App. Prob., Chapman and Hall, 1997.
8. G. Mercier, S. Derrode, and M. Lennon, "Hyperspectral image segmentation with Markov chain model," in IGARSS, Toulouse, France, 2003.