Abstract
The Local Ternary Pattern (LTP) extends the conventional LBP to ternary codes and makes a significant improvement. LTP is more resistant to noise, but no longer strictly invariant to gray-level transformations. To improve the performance of LTP, this paper proposes the Enhanced Local Ternary Pattern (ELTP) by adopting the Average Local Gray Level (ALG) to take place of the traditional gray value of the center pixel, taking an auto-adaptive strategy on the selection of the threshold and introducing a novel coding process. Finally, the Completed Enhanced Ternary Pattern (CELTP) is also presented.
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Yuan, JH., Zhu, HD., Gan, Y., Shang, L. (2014). Enhanced Local Ternary Pattern for Texture Classification. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theory. ICIC 2014. Lecture Notes in Computer Science, vol 8588. Springer, Cham. https://doi.org/10.1007/978-3-319-09333-8_48
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DOI: https://doi.org/10.1007/978-3-319-09333-8_48
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