Local binary patterns
From Wikipedia, the free encyclopedia
Local binary patterns (LBP) is a type of visual descriptor used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found to be a powerful feature for texture classification; it has further been determined that when LBP is combined with the Histogram of oriented gradients (HOG) descriptor, it improves the detection performance considerably on some datasets.[5] A comparison of several improvements of the original LBP in the field of background subtraction was made in 2015 by Silva et al.[6] A full survey of the different versions of LBP can be found in Bouwmans et al.[7]