Texture Classification Using Rotation Invariant LBP Based on Digital Polygons

  • Juan Pardo-Balado
  • Antonio FernándezEmail author
  • Francesco Bianconi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9281)


This paper investigates the use of digital polygons as a replacement for circular interpolated neighbourhoods for extracting texture features through Local Binary Patterns. The use of digital polygons has two main advantages: reduces the computational cost, and avoids the high-frequency loss resulting from pixel interpolation. The solution proposed in this work employs a sub-sampling scheme over Andres’ digital circles. The effectiveness of the method was evaluated in a supervised texture classification experiment over eight different datasets. The results showed that digital polygons outperformed interpolated circular neighbourhoods in most cases.


Local Binary Patterns Texture classification Digital circles Digital polygons Rotation invariance 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Juan Pardo-Balado
    • 1
  • Antonio Fernández
    • 1
    Email author
  • Francesco Bianconi
    • 2
  1. 1.Universidade de Vigo, School of Industrial EngineeringVigoSpain
  2. 2.Department of EngineeringUniversità degli Studi di PerugiaPerugiaItaly

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