Ontology-based semantic image segmentation using mixture models and multiple CRFs
Semantic image segmentation is a fundamental yet challenging problem, which can be viewed as an extension of the conventional object detection with close relation to image segmentation and classification. It aims to partition images into non-overlapping regions that are assigned predefined semantic...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/53436/1/Ontology-based%20semantic%20image%20segmentation%20using%20mixture%20models%20and%20multiple%20CRFs.pdf http://psasir.upm.edu.my/id/eprint/53436/ http://ieeexplore.ieee.org/document/7450190/ |
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