Abstract
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.
Keywords
- Local Binary Patterns
- Texture classification
- Digital circles
- Digital polygons
- Rotation invariance
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References
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Pardo-Balado, J., Fernández, A., Bianconi, F. (2015). Texture Classification Using Rotation Invariant LBP Based on Digital Polygons. In: Murino, V., Puppo, E., Sona, D., Cristani, M., Sansone, C. (eds) New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops. ICIAP 2015. Lecture Notes in Computer Science(), vol 9281. Springer, Cham. https://doi.org/10.1007/978-3-319-23222-5_11
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DOI: https://doi.org/10.1007/978-3-319-23222-5_11
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