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

Authors:
Ludovic Paulhac;Pascal Makris;Jean-Yves Ramel
Affiliations:
Laboratoire Informatique de, l'Université François Rabelais de Tours,;Laboratoire Informatique de, l'Université François Rabelais de Tours,;Laboratoire Informatique de, l'Université François Rabelais de Tours,
Venue:
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Year:
2008

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Abstract

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.