Architecture for biodiversity image retrieval using ontology and Content Based Image Retrieval (CBIR) / Arpah Abu

Architecture for biodiversity image retrieval using ontology and Content Based Image Retrieval (CBIR) / Arpah Abu

This research looks into how ontology can be used to pre-classify training set images to improve the efficiency of Content-Based Image Retrieval (CBIR) for Biodiversity. The set of images used for image retrieval are the Malaysian monogeneans belonging to the order Dactylogyridae Bychowsky, 1937. Mo...

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Bibliographic Details
Main Author: Abu, Arpah
Format: Thesis
Published: 2013
Subjects:
Q Science (General)
QH Natural history
Online Access:http://pendeta.um.edu.my/client/default/search/detailnonmodal/ent:$002f$002fSD_ILS$002f880$002fSD_ILS:880832/ada?qu=Architecture+for+biodiversity+image+retrieval+using+ontology
http://studentsrepo.um.edu.my/4229/1/ARPAH%2DABU%2DPhD%2DThesis%2D2013.pdf

Internet

http://pendeta.um.edu.my/client/default/search/detailnonmodal/ent:$002f$002fSD_ILS$002f880$002fSD_ILS:880832/ada?qu=Architecture+for+biodiversity+image+retrieval+using+ontology
http://studentsrepo.um.edu.my/4229/1/ARPAH%2DABU%2DPhD%2DThesis%2D2013.pdf

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