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A Comparison of Image Texture Descriptors for Pattern Classification

  • Valentín Calzada-LedesmaEmail author
  • Héctor José Puga-Soberanes
  • Alfonso Rojas-Domínguez
  • Manuel Ornelas-Rodriguez
  • Martín Carpio
  • Claudia Guadalupe Gómez
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 749)

Abstract

Texture classification is a problem widely studied in computer vision, there exist two fundamental issues: how to describe texture images and how to define a similarity measure. The texture descriptors are mainly used to extract and represent the features of texture images and their performance is usually measured using a classification algorithm. In this paper, some of the most referenced texture descriptors, such as Gabor filter banks, Wavelets, and Local Binary Patterns, are compared using non-parametric statistical tests to know if there is a difference in performance. The descriptors are applied to five well-known texture image datasets, in order to be classified. Three classification algorithms, with a cross-validation scheme, are used to classify the described texture datasets. Finally, a Friedman test with multiple comparisons is used to compare the whole performance of the texture descriptors on a statistical basis. The statistical results suggest that for these tests there is a difference in performance, so it was possible to determine statistically, for the considered experimental settings, the best texture descriptor.

Keywords

Texture classification Local binary patterns Discrete wavelet transform Gabor filter banks 

Notes

Acknowledgements

This work was partially supported by the National Council of Science and Technology (CONACYT) of Mexico, Grant numbers: 263,129 (V. Calzada) and CATEDRAS-2598 (A. Rojas).

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Valentín Calzada-Ledesma
    • 1
    Email author
  • Héctor José Puga-Soberanes
    • 1
  • Alfonso Rojas-Domínguez
    • 1
  • Manuel Ornelas-Rodriguez
    • 1
  • Martín Carpio
    • 1
  • Claudia Guadalupe Gómez
    • 2
  1. 1.Tecnológico Nacional de México- Instituto Tecnológico de LeónLeón GuanajuatoMexico
  2. 2.Tecnológico Nacional de México- Instituto Tecnológico de Ciudad MaderoCd. Madero TamaulipasMexico

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