HQSGRD

The official implementation of “High quality superpixel generation through regional decomposition”.
Paper link: https://ieeexplore.ieee.org/document/9927181
The main requirements are opencv (4.7.0) and Microsoft Visual Studio 2022.

Get started

1. Download the datasets (Paper_dataset.zip) from this google drive link.
2. git clone https://github.com/YunyangXu/HQSGRD.
3. Install Microsoft Visual Studio 2022 and opencv (4.7.0).
4. Open the project file "HQSGRD. sln".

How to test

1. Unzip the downloaded folder Paper_daset.zip. This folder contains the three data sets used in the paper (BSD, FashImages and PASCAL-S). Each folder contains the original image and the results of its RCF method.
2. Set the path of Input_folder and Output_folder in main.cpp.
3. When Save_Image == 1, the visual result of the superpixel is saved. When Save_Label_file == 1, save the split mark file of the super pixel.

How to use your own data

1. The RCF method is used to obtain the edge detection results of the input image and perform non-maximum suppression. RCF_code
2. Put the result of non-maximum suppression and the original image into Input_folder.
3. Run the algorithm.

Citation

@ARTICLE{xu2022high, author={Xu, Yunyang and Gao, Xifeng and Zhang, Caiming and Tan, Jianchao and Li, Xuemei}, journal={IEEE Transactions on Circuits and Systems for Video Technology}, title={High Quality Superpixel Generation Through Regional Decomposition}, year={2023}, volume={33}, number={4}, pages={1802-1815}, doi={10.1109/TCSVT.2022.3216303}}