Dominant Local Binary Patterns for Texture Classification

DOI10.1109/TIP.2009.2015682zbMath1371.94232WikidataQ51842531 ScholiaQ51842531MaRDI QIDQ5365983

Shu Liao, Max W. K. Law, Albert C. S. Chung

Publication date: 9 October 2017

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Image analysis in multivariate analysis (62H35) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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Multi-level pixel-based texture classification through efficient prototype selection via normalized cut ⋮ On the occurrence probability of local binary patterns: a theoretical study ⋮ Protein classification using texture descriptors extracted from the protein backbone image ⋮ High performance set of PseAAC and sequence based descriptors for protein classification ⋮ Texture description through histograms of equivalent patterns ⋮ General framework for rotation invariant texture classification through co-occurrence of patterns ⋮ Statistical model and local binary pattern based texture feature extraction in dual-tree complex wavelet transform domain ⋮ Two-dimensional strip spectral correlation algorithm to fast estimation of 2D-cyclic spectral function for texture analysis ⋮ Median arc center corrected binary pattern (MACCBP) for noise robust feature extraction

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