Image segment processing for analysis and visualization
This thesis is a study of the probabilistic relationship between objects in an image and image appearance. We give a hierarchical, probabilistic criterion for the Bayesian segmentation of photographic images. We validate the segmentation against the Berkeley Segmentation Data Set, where human subjec...
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| Format: | Others |
| Language: | en |
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University of Ottawa (Canada)
2013
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| Online Access: | http://hdl.handle.net/10393/27641 http://dx.doi.org/10.20381/ruor-12181 |