Classifying and Comparing Regular Textures for Retrieval using Texel Geometry

Regular textures can be modelled as consi sti g of periodic patterns where a fundamental unit , or texel, occurs repeatedly. This paper explores the use of a representation of texel geometry for classificatio n and comparison of regular texture images. Texels are au tomatically extracted from images and the distribut ion of texel shape and orientation is modelled. The app lication of this model to image retrieval and brows ing is discussed using examples from a database of art and textile images.

• Publication year

  2009

• Venue

  International Conference on Computer Vision Theory and Applications

• Publication date

  Unknown publication date

• Fields of study

  Art, Computer Science

• Identifiers
  DOI 10.5220/0001792703470354
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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