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{{more citations needed|date=November 2012}}
'''Local ternary patterns''' (LTP) are an extension of [[local binary patterns]] (LBP).<ref>{{Cite journal |lastlast1=Xiaoyang Tan |last2=Triggs |first2=Bill |date=June 2010 |title=Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions |url=http://ieeexplore.ieee.org/document/5411802/ |journal=IEEE Transactions on Image Processing |volume=19 |issue=6 |pages=1635–1650 |doi=10.1109/TIP.2010.2042645 |pmid=20172829 |bibcode=2010ITIP...19.1635T |issn=1057-7149|citeseerx=10.1.1.105.3355 }}</ref><ref>{{Cite journal |lastlast1=Ji |firstfirst1=Luping |last2=Ren |first2=Yan |last3=Pu |first3=Xiaorong |last4=Liu |first4=Guisong |date=2018-07-01 |title=Median local ternary patterns optimized with rotation-invariant uniform-three mapping for noisy texture classification |url=https://ui.adsabs.harvard.edu/abs/2018PatRe..79..387J |journal=Pattern Recognition |volume=79 |pages=387–401 |doi=10.1016/j.patcog.2018.02.009|bibcode=2018PatRe..79..387J |s2cid=13691471 |doi-access=free }}</ref> Unlike LBP, it does not threshold the pixels into 0 and 1, rather it uses a threshold constant to threshold [[pixel]]s 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:
