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DRW

Overview

The official code of the paper: Dynamic Random Walk for Superpixel Segmentation (ACCV2018/IEEE TIP)

Getting Started

To run our code:

  1. Run ``MakeiFile.m" ro generate the matlab function based on our "C++ codes"

  2. Setting hyperparameters of ``exampleDRW.m":

2.1. Set "k" as the superpixel number

2.2. Set "type_seed" to select our seed initialize strategy

2.3. Set "type_grad" to select seed prior (if use pb, please firstly download the source code of pb edge detection)

  1. Run the code.

Citation

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

@inproceedings{DRW_ACCV,
title={Dynamic Random Walk for Superpixel Segmentation},
author={Zhu, Lei and Kang, Xuejing and Ming, Anlong and Zhang, Xuesong},
booktitle={Asian Conference on Computer Vision},
pages={540--554},
year={2018},
organization={Springer}
}

@article{DRW_TIP,
title={Dynamic random walk for superpixel segmentation},
author={Kang, Xuejing and Zhu, Lei and Ming, Anlong},
journal={IEEE Transactions on Image Processing},
volume={29},
pages={3871--3884},
year={2020},
publisher={IEEE}
}

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This is the official code of our paper: Dynamic Random Walk for Superpixel Segmentation

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  • C++ 86.8%
  • MATLAB 11.6%
  • Wolfram Language 1.6%