Stepwise selection of perceptual texture features

  • Antoni Grau
  • Joan Aranda
  • Joan Climent
Poster Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1451)


In computer vision, texture plays an important role. In this work we propose five human perceptual texture features heuristically extracted. Since a modeling can not be obtained from these features, we use a discriminant analysis technique to examine the discriminant power of each texture descriptor in order to select the most relevant. This task is done by a stepwise inclusion of variables indicating, furthermore, whether all of them are valuable and necessary producing a set of optimal discriminant variables. These selection procedures have been tested using Brodatz texture images, a benchmark in texture analysis.


Texture analysis texture features extraction discriminant analysis stepwise selection Brodatz's album 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Antoni Grau
    • 1
  • Joan Aranda
    • 1
  • Joan Climent
    • 1
  1. 1.Dept. of Computer Engineering and Automatic ControlPolytechnic University of CataloniaUSA

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