TY - GEN
T1 - Copulas in vectorial Hidden Markov chains for multicomponent image segmentation
AU - Brunel, Nicolas
AU - Pieczynski, Wojciech
AU - Derrode, Stéphane
PY - 2005/12/1
Y1 - 2005/12/1
N2 - Parametric estimation of non-Gaussian multidimensional probability density function (pdf) is a difficult problem that is required by many applications in signal and image processing. A lot of efforts has been devoted to methods from multivariate analysis such as Principal or Independent Component Analysis (PCA and ICA). In this work, we introduce an alternative solution based on a very general class of multivariate models called 'copulas'. Useful copulas models for image classification are used in the frame of multidimensional mixture estimation arising in the segmentation of multicomponent images, when using a vectorial Hidden Markov Chain (HMC).
AB - Parametric estimation of non-Gaussian multidimensional probability density function (pdf) is a difficult problem that is required by many applications in signal and image processing. A lot of efforts has been devoted to methods from multivariate analysis such as Principal or Independent Component Analysis (PCA and ICA). In this work, we introduce an alternative solution based on a very general class of multivariate models called 'copulas'. Useful copulas models for image classification are used in the frame of multidimensional mixture estimation arising in the segmentation of multicomponent images, when using a vectorial Hidden Markov Chain (HMC).
UR - https://www.scopus.com/pages/publications/33646774338
U2 - 10.1109/ICASSP.2005.1415505
DO - 10.1109/ICASSP.2005.1415505
M3 - Conference contribution
AN - SCOPUS:33646774338
SN - 0780388747
SN - 9780780388741
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - II717-II720
BT - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing
T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Y2 - 18 March 2005 through 23 March 2005
ER -