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Hierarchical conditional random field model for labeling and segmenting images

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Abstract

An image processing system automatically segments and labels an image using a hierarchical classification model. A global classification model determines initial labels for an image based on features of the image. A label-based descriptor is generated based on the initial labels. A local classification model is then selected from a plural...More

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Author
Qixing Huang
Qixing Huang
Mei Han
Mei Han
Bo Wu
Bo Wu
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