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Texture-Based Image Similarity

  • Yossi Rubner
  • Carlo Tomasi
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 594)

Abstract

Although the notion of visual texture seems, at first, to be familiar and intuitive, there is no definition of texture that is universally accepted. Texture usually refers to a repetition of a perceptually similar pattern over an image region, such that the region is perceived as homogeneous by a human observer. Often, for structural textures (in contrast to statistical ones) such a pattern is referred to as the “texton”. A pattern and its repetition can often be represented well by a spectral decomposition of the texture which captures the amount of repetition in different scales and in different orientations. In this chapter we use Gabor filters to represent texture. We develop two classes of dissimilarity measures: for homogeneous textures and for images that contain many textures, such as natural images. Finally, we present a preprocessing method to enhance the description of the texture content of images.

Keywords

Texture Feature Natural Image Gabor Filter Gabor Function Homogeneous Texture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Yossi Rubner
    • 1
  • Carlo Tomasi
    • 1
  1. 1.Stanford UniversityUSA

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