Feature based local binary pattern for rotation invariant texture classification

作者：

Highlights：

• The paper presents a novel texture descriptor based on Local Binary Pattern.

• We address the problems of rotation invariance and illumination invariance.

• The proposed texture descriptor FbLBP is low-dimension.

• The results of FbLBP are compared with the state-of-the-art LBP-like variants.

摘要

•The paper presents a novel texture descriptor based on Local Binary Pattern.•We address the problems of rotation invariance and illumination invariance.•The proposed texture descriptor FbLBP is low-dimension.•The results of FbLBP are compared with the state-of-the-art LBP-like variants.

论文关键词：Local binary pattern (LBP),Difference vector,Feature based local binary pattern (FbLBP),Texture classification,Rotation invariance

论文评审过程：Received 21 April 2017, Revised 4 July 2017, Accepted 7 July 2017, Available online 8 July 2017, Version of Record 12 July 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.07.007