Local Quantization Code histogram for texture classification

Abstract

In this paper, an efficient local operator, namely the Local Quantization Code (LQC), is proposed for texture classification. The conventional local binary pattern can be regarded as a special local quantization method with two levels, 0 and 1. Some variants of the LBP demonstrate that increasing the local quantization level can enhance the local… (More)
DOI: 10.1016/j.neucom.2016.05.016

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Cite this paper

@article{Zhao2016LocalQC, title={Local Quantization Code histogram for texture classification}, author={Yang Zhao and Ronggang Wang and Wenmin Wang and Wen Gao}, journal={Neurocomputing}, year={2016}, volume={207}, pages={354-364} }