Central pixel selection strategy based on local gray-value distribution by using gradient information to enhance LBP for texture classification

作者：

Highlights：

• The paper presents a novel central pixel selection (CPS) strategy for LBP framework.

• The proposed strategy can be applied to LBP and its variants.

• The results of proposed CPS strategy are significant.

摘要

•The paper presents a novel central pixel selection (CPS) strategy for LBP framework.•The proposed strategy can be applied to LBP and its variants.•The results of proposed CPS strategy are significant.

论文关键词：Local binary pattern (LBP),Central pixel selection (CPS) strategy,Local gray-value distribution,Central pixel class,Texture classification

论文评审过程：Received 1 March 2018, Revised 20 November 2018, Accepted 29 November 2018, Available online 30 November 2018, Version of Record 4 December 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.11.041