Local Binary Pattern (LBP) is a simple yet very efficient texture operator which labels the pixels of an image by thresholding the neighborhood of each pixel and considers the result as a binary number. Due to its discriminative power and computational simplicity, LBP texture operator has become a popular approach in various applications. It can be seen as a unifying approach to the traditionally divergent statistical and structural models of texture analysis. Perhaps the most important property of the LBP operator in real-world applications is its robustness to monotonic gray-scale changes caused, for example, by illumination variations. Another important property is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. LBP has been most widely used as a dense texture descriptor, but can also be used as a sparse descriptor like SIFT or computed on a grid like HOG.
For a more detailed description of LBP in spatial and spatiotemporal domains, see LBP in Scholarpedia
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Last updated: 22.8.2016