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We propose a Bayesian network (BN) model to integrate multiple contextual information and the image measurements for image segmentation. The BN model systematically encodes the contextual relationships between regions, edges and vertices, as well as their image measurements with uncertainties. It allows a principled probabilistic inference to be performed so that image segmentation can be achieved...
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