局部二值模式及其扩展方法研究与展望

RESEARCH AND PROSPECT OF LOCAL BINARY PATTERNS AND ITS EXTENSION APPROACH

针对局部二值模式LBP(Local binary pattern)在图像处理与模式识别方面表现出的实际应用价值,系统综述当前LBP算子在不同应用领域的扩展方法。首先,简要概述LBP算子的基本原理。其次,从邻域拓扑结构角度、降低噪声影响角度、编码角度、降维角度与获取旋转不变性角度等五个方面对LBP算子近年来的相关扩展方法进行详细梳理和归纳总结。最后,分析各类方法的相互关系与存在的问题,并指出未来LBP扩展的研究方向。

In view of the practical value of local binary pattern （LBP） in image processing and computer vision, we systematically review in the paper current extension approaches of LBP operator in different application fields. First, we briefly sum up the rationale of LBP operator. Then, we sort in detail and summarise the correlated extension approaches of LBP operator in recent years from five aspects, including the neighbourhood topological structure, the noise effect reduction, the coding method, the dimension reduction, and obtaining the rotation invariance. Finally, we analyse the mutual relations among five aspects and their problems each, and point out the research direction of LBP extensions in the future.