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Efficient data mining for local binary pattern in texture image analysis
2015
Expert systems with applications
Local binary pattern (LBP) is a simple gray scale descriptor to characterize the local distribution of the grey levels in an image. Multi-resolution LBP and/or combinations of the LBPs have shown to be effective in texture image analysis. However, it is unclear what resolutions or combinations to choose for texture analysis. Examining all the possible cases is impractical and intractable due to the exponential growth in a feature space. This limits the accuracy and time- and space-efficiency of
doi:10.1016/j.eswa.2015.01.055
pmid:25767332
pmcid:PMC4353407
fatcat:lg7q2ymburh6paugoc4hdk2aly