Adaptive center pixel selection strategy in Local Binary Pattern for texture classification

作者：

Highlights：

• The paper presents a center pixel selection strategy for Local Binary Pattern.

• We reuse more texture structure information from non-uniform patterns.

• The center pixel selection strategy can be employed by any other LBP variants.

• The results of the adaptive center pixel selection strategy are significant.

摘要

•The paper presents a center pixel selection strategy for Local Binary Pattern.•We reuse more texture structure information from non-uniform patterns.•The center pixel selection strategy can be employed by any other LBP variants.•The results of the adaptive center pixel selection strategy are significant.

论文关键词：Local Binary Pattern (LBP),Center pixel,Adaptive center pixel selection (ACPS) strategy,Super resolution,Texture classification

论文评审过程：Received 12 March 2020, Revised 7 April 2021, Accepted 25 April 2021, Available online 28 April 2021, Version of Record 7 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115123