A comparison on histogram based image matching methods

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dc.contributor.author Jia, W
dc.contributor.author Zhang, H
dc.contributor.author He, X
dc.contributor.author Wu, Q
dc.date.accessioned 2009-11-09T05:37:22Z
dc.date.issued 2006
dc.identifier.citation Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006, 2006
dc.identifier.isbn 0769526888
dc.identifier.isbn 9780769526881
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2958
dc.description.abstract Using colour histogram as a stable representation over change in view has been widely used for object recognition. In this paper, three newly proposed histogram-based methods are compared with other three popular methods, including conventional histogram intersection (HI) method, Wong and Cheung's merged palette histogram matching (MPHM) method, and Gevers' colour ratio gradient (CRG) method. These methods are tested on vehicle number plate images for number plate classification. Experimental results disclose that, the CRG method is the best choice in terms of speed, and the GWHI method can give the best classification results. Overall, the CECH method produces the best performance when both speed and classification performance are concerned. © 2006 IEEE.
dc.relation.hasversion Accepted manuscript version
dc.relation.isbasedon 10.1109/AVSS.2006.5
dc.title A comparison on histogram based image matching methods
dc.type Conference Proceeding
dc.parent Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
dc.journal.number en_US
dc.publocation Los Alamitos, USA en_US
dc.identifier.startpage 1 en_US
dc.identifier.endpage 6 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.conference.location Sydney, Australia en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 990421
dc.personcode 000748
dc.personcode 044299
dc.personcode 995032
dc.percentage 100 en_US
dc.classification.name Distributed Computing en_US
dc.classification.type FOR-08 en_US
dc.custom Advanced Video and Signal Based Surveillance en_US
dc.date.activity 20061122 en_US
dc.location.activity Sydney, Australia en_US
dc.description.keywords color histograms, image matching, comparison en_US
dc.description.keywords Territorial State, treaty of Westphalia
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications


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