A distinct and compact texture descriptor
作者：
Highlights：
• A powerful texture descriptor is developed for texture classification.
• The descriptor is built via fractal analysis on the local binary patterns.
• The descriptor enjoys both high discriminative power and robustness.
• The descriptor is compact and computationally efficient.
• The descriptor demonstrated excellent performance on four datasets.
摘要
•A powerful texture descriptor is developed for texture classification.•The descriptor is built via fractal analysis on the local binary patterns.•The descriptor enjoys both high discriminative power and robustness.•The descriptor is compact and computationally efficient.•The descriptor demonstrated excellent performance on four datasets.
论文关键词：Texture description,Local binary pattern,Fractal dimension,Multi-fractal analysis,Texture classification
论文评审过程：Received 8 September 2012, Revised 30 December 2013, Accepted 13 February 2014, Available online 21 February 2014.
论文官网地址：https://doi.org/10.1016/j.imavis.2014.02.004
