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- W1567142449 abstract "This work extents the hidden Markov chain (HMC) model for the unsupervised segmentation of multicomponent images. Although the vectorial extension of the model is almost straightforward, we are faced to the problem of estimating a mixture of nonGaussian multidimensional densities. In this work, we adopt an independent component analysis (ICA) approach that allows the mutual dependance between the layers to be taken into account in the segmentation process. Classification results on a four bands SPOT-IV image illustrates the method. Also, a comparison is performed when only mutual independence or correlation between the components is assumed." @default.
- W1567142449 created "2016-06-24" @default.
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- W1567142449 date "2004-06-03" @default.
- W1567142449 modified "2023-10-17" @default.
- W1567142449 title "Unsupervised multicomponent image segmentation combining a vectorial HMC model and ICA" @default.
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- W1567142449 doi "https://doi.org/10.1109/icip.2003.1246703" @default.
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