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Local ternary patterns
Image processing process

Local ternary patterns (LTP) are an extension of local binary patterns (LBP). Unlike LBP, it does not threshold the pixels into 0 and 1, rather it uses a threshold constant to threshold pixels into three values. Considering k as the threshold constant, c as the value of the center pixel, a neighboring pixel p, the result of threshold is:

{ 1 , if  p > c + k 0 , if  p > c − k  and  p < c + k − 1 if  p < c − k {\displaystyle {\begin{cases}1,&{\text{if }}p>c+k\\0,&{\text{if }}p>c-k{\text{ and }}p<c+k\\-1&{\text{if }}p<c-k\\\end{cases}}}

In this way, each thresholded pixel has one of the three values. Neighboring pixels are combined after thresholding into a ternary pattern. Computing a histogram of these ternary values will result in a large range, so the ternary pattern is split into two binary patterns. Histograms are concatenated to generate a descriptor double the size of LBP.

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See also

References

  1. Xiaoyang Tan; Triggs, Bill (June 2010). "Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions". IEEE Transactions on Image Processing. 19 (6): 1635–1650. CiteSeerX 10.1.1.105.3355. doi:10.1109/TIP.2010.2042645. ISSN 1057-7149. PMID 20172829. https://ieeexplore.ieee.org/document/5411802

  2. Ji, Luping; Ren, Yan; Pu, Xiaorong; Liu, Guisong (2018-07-01). "Median local ternary patterns optimized with rotation-invariant uniform-three mapping for noisy texture classification". Pattern Recognition. 79: 387–401. Bibcode:2018PatRe..79..387J. doi:10.1016/j.patcog.2018.02.009. S2CID 13691471. https://doi.org/10.1016%2Fj.patcog.2018.02.009