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Classifying and comparing regular textures for retrieval using texel geometry

Classifying and comparing regular textures for retrieval using texel geometry

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Original languageEnglish
Title of host publicationVISAPP 2009
Subtitle of host publicationproceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009
EditorsAlpesh Ranchordas, Helder Araujo
Place of publicationSetubal
PublisherInstitute for Systems and Technologies of Information, Control and Communication
Publication date2009
Pages347-354
Number of pages8
Volume1
ISBN (Print)9789898111692
StatePublished

Conference

Conference4th International Conference on Computer Vision Theory and Applications
Abbreviated titleVISAPP 2009
CountryPortugal
CityLisbon
Period5/02/098/02/09
Internet addresshttp://www.visapp.visigrapp.org/VISAPP2009/

Abstract

Regular textures can be modelled as consisting of periodic patterns where a fundamental unit, or texel, occurs repeatedly. This paper explores the use of a representation of texel geometry for classification and comparison of regular texture images. Texels are automatically extracted from images and the distribution of texel shape and orientation is modelled. The application of this model to image retrieval and browsing is discussed using examples from a database of art and textile images.

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