Classifying and comparing regular textures for retrieval using texel geometry

Junwei Han, Stephen J. McKenna

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

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.

Original languageEnglish
Title of host publicationVISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications
Pages347-354
Number of pages8
StatePublished - 2009
Externally publishedYes
Event4th International Conference on Computer Vision Theory and Applications, VISAPP 2009 - Lisboa, Portugal
Duration: 5 Feb 20098 Feb 2009

Publication series

NameVISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications
Volume1

Conference

Conference4th International Conference on Computer Vision Theory and Applications, VISAPP 2009
Country/TerritoryPortugal
CityLisboa
Period5/02/098/02/09

Keywords

  • Regular texture
  • Texel classification
  • Texel comparison
  • Texel geometry

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