Extended three-dimensional rotation invariant local binary patterns

作者：

Highlights：

• A new set of three-dimensional fully rotation invariant LBP descriptors is proposed.

• Proven utility of the third dimension in local binary patterns

• Improvements against other state-of-the-art 3D texture descriptors

• Application to a clinical dataset of susceptibility-weighted MR brain images

摘要

•A new set of three-dimensional fully rotation invariant LBP descriptors is proposed.•Proven utility of the third dimension in local binary patterns•Improvements against other state-of-the-art 3D texture descriptors•Application to a clinical dataset of susceptibility-weighted MR brain images

论文关键词：Local binary patterns (LBPs),Three-dimensions,Rotation invariance,Texture classification

论文评审过程：Received 8 May 2016, Revised 28 February 2017, Accepted 22 March 2017, Available online 31 March 2017, Version of Record 25 April 2017.

论文官网地址：https://doi.org/10.1016/j.imavis.2017.03.004