Statistical binary patterns for rotational invariant texture classification
نویسندگان
چکیده
منابع مشابه
Statistical binary patterns for rotational invariant texture classification
A new texture representation framework called statistical binary patterns (SBP) is presented. It consists in applying rotation invariant local binary pattern operators (LBP) to a series of moment images, defined by local statistics uniformly computed using a given spatial support. It can be seen as a generalisation of the commonly used complementation approach (CLBP), since it extends the local...
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In this paper, we present a novel method for the fast computation of rotational invariant ”uniform local binary patterns” (uLBP) for texture analysis on 3D volume data. We introduce an alternative computation method for uLBPs in frequency space, which allows to effectively approximate uniform patterns in 2D and 3D in order to avoid the enormous computational complexity of a ”naive” 3D LBP imple...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2016
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2015.09.029