Local binary patterns: Difference between revisions

Revision as of 08:03, 17 November 2021

Revision as of 09:56, 17 November 2021

Line 25:

* Volume Local Binary Pattern(VLBP):<ref>Zhao, Guoying, and Matti Pietikainen. "Dynamic texture recognition using local binary patterns with an application to facial expressions." IEEE Transactions on Pattern Analysis and Machine Intelligence 29.6 (2007): 915-928.</ref> VLBP looks at dynamic texture as a set of volumes in the (X,Y,T) space where X and Y denote the spatial coordinates and T denotes the frame index. The neighborhood of a pixel is thus defined in three dimensional space, and volume textons can be extracted into histograms.

* RGB-LBP: This operator is obtained by computing LBP over all three channels of the RGB color space independently, and then concatenating the results together.

* One dimensional Local binary Patterns(1DLBP):<ref>Tajeripour, Farshad, and Fekri-Ershad, Shervan. "Developing a novel approach for stone porosity computing using modified local binary patterns and single scale retinex." Arabian journal for Science and Engineering. Vol.39 (2014): 875-889.</ref> 1DLBP is defined as a modified version of basic local binary patterns with new definition for neighborhoods. 1DLBP defines two horizontal and vertical segments to compute local relation between center and its neighbors. the computational complexity of 1dLBP is lower than LBP because of using one dimensional computations.

== Implementations ==