Ontology-based semantic image segmentation using mixture models and multiple CRFs

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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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Bibliographic Details
Main Authors:	Zand, Mohsen, Doraisamy, Shyamala, Abdul Halin, Alfian, Mustaffa, Mas Rina
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers 2016
Online Access:	http://psasir.upm.edu.my/id/eprint/53436/ http://psasir.upm.edu.my/id/eprint/53436/1/Ontology-based%20semantic%20image%20segmentation%20using%20mixture%20models%20and%20multiple%20CRFs.pdf

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