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- W2374927363 abstract "Bayesian models and a variety of image measurements,belief propagation updates the probability of each node,this paper proposed a new Bayesian network model automatic interactive image segmentation process.From the super pixel area over-segmentation model multilayer Bayesian network model to construct a statistical correlation between the edge of the area,vertex,and measuring results.In addition to automatic image segmentation,the Bayesian network model could also be used for interactive image segmentation that existing interactive segmentation often passively rely on the user to provide accurate adjustment.The new active input selection as a means to accurately adjust this experiment Weizmann datasets and VOC 2006 image sets to assess experimental results show that this Bayesian network model can better automatic segmentation active input selection can improve the overall split accuracy." @default.
- W2374927363 created "2016-06-24" @default.
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- W2374927363 date "2013-01-01" @default.
- W2374927363 modified "2023-09-24" @default.
- W2374927363 title "Bayesian network model construction in automatic interactive image segmentation" @default.
- W2374927363 hasPublicationYear "2013" @default.
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