Comparison between 2D and 3D Local Binary Pattern Methods for Characterisation of Three-Dimensional Textures

  • Ludovic Paulhac
  • Pascal Makris
  • Jean-Yves Ramel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5112)


Our purpose is to extend the Local Binary Pattern method to three dimensions and compare it with the two-dimensional model for three-dimensional texture analysis. To compare these two methods, we made classification experiments using three databases of three-dimensional texture images having different properties. The first database is a set of three-dimensional images without any distorsion or transformation, the second contains additional gaussian noise. The last one contains similar textures as the first one but with random rotations according x, y and z axis. For each of these databases, the three-dimensional Local Binary Pattern method outperforms the two-dimensional approach which has more difficulties to provide correct classifications.


Solid texture Local Binary Pattern Method Classification experiments 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Ludovic Paulhac
    • 1
  • Pascal Makris
    • 1
  • Jean-Yves Ramel
    • 1
  1. 1.Laboratoire Informatique del’Université François Rabelais de Tours 

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