/LPQplusplus

Official Matlab implementation for "LPQ++: A Discriminative Blur-insensitive Textural Descriptor with Spatial-channel Interaction"

Primary LanguageMATLAB

LPQ++: A Discriminative Blur-insensitive Textural Descriptor with Spatial-channel Interaction

This is the official Matlab implementation for "LPQ++: A Discriminative Blur-insensitive Textural Descriptor with Spatial-channel Interaction". LPQ++

Citation

If you find our work useful in your research, please consider citing:

@article{zhu2020lpq++,
  title={LPQ++: A Discriminative Blur-insensitive Textural Descriptor with Spatial-channel Interaction},
  author={Zhu, Zihao and Xiao, Yang and Li, Shuai and Cao, Zhiguo and Fang, Zhiwen and Zhou, Joey Tianyi},
  journal={Information Sciences},
  year={2020},
  publisher={Elsevier}
}

Installation

This code is tested on Windows Server 2012, Matlab R2014b.

  1. Install Matlab.
  2. LIBSVM package is required. The package has already been placed in the folder "./code/Libsvm".
  3. VLFeat package is required. The package has already been placed in the folder "./code/vlfeat-0.9.20". Installation details can be acquired Here.

Run

To excecute LPQ++ for blurred texture recognition on KTH-TIPS dataset:

cd code
run LPQplusplus_classification.m

Contact

For any question, please contact Zihao Zhu zihaozhu@hust.edu.cn