Local ternary patterns: Difference between revisions

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Line 2: {{more citations needed\|date=November 2012}} '''Local ternary patterns''' (LTP) are an extension of [[local binary patterns]] (LBP).<ref>{{Cite journal \|last1=Xiaoyang Tan \|last2=Triggs \|first2=Bill \|date=June 2010 \|title=Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions ~~\|url=https://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 \|last1=Ji \|first1=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 \|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: :<math>