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dc.contributor.authorBusch, Andrewen_US
dc.contributor.authorW. Boles, Wageehen_US
dc.contributor.authorSridharan, Sridhaen_US
dc.contributor.editorBrian C. Lovell, Duncan A. Campbell, Clinton B. Fookes & Anthony J. Maederen_US
dc.description.abstractTexture is an important property of many types of images, and has been widely used in a number of applications to describe, classify and index images. In this paper, we propose a technique for characterising texture by modelling the relationships between the high and low frequency bands of its wavelet decomposition, which have been experimentally shown to provide information which is not available when considering such bands independently. A similarity measure using the recently proposed earth mover's distance is formulated, and the results of using this measure for retrieval of textures from a database are presented.en_US
dc.publisherQueensland University of Technologyen_US
dc.publisher.placeBrisbane, QLD Australiaen_US
dc.relation.ispartofbookorjournalANZIIS 2003 : Proceedings of the Eighth Australian and New Zealand Intelligent Information Systems Conferenceen_AU
dc.relation.ispartofconferencenameEighth Australian and New Zealand Intelligent Information Systems Conferenceen_US
dc.relation.ispartofconferencetitleANZIIS 2003 : Proceedings of the Eighth Australian and New Zealand Intelligent Information Systems Conferenceen_US
dc.relation.ispartoflocationSydney, NSW, Australiaen_US
dc.titleCalculating the similarity of textures using wavelet scale relationshipsen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.hasfulltextNo Full Text

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    Contains papers delivered by Griffith authors at national and international conferences.

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