BASS: Boundary-Aware Superpixel Segmentation
This repository is forked from https://github.com/arubior/bass-superpixels. The main purpose of this repository is to make it easier to build.
How do I get set up?
Dependency
OpenCV
Build
Clone the repo, go to code folder and compile as follows (you will need to remove an extra space created in link.txt):
$ cd code
$ mkdir build
$ cd build
$ cmake ..
$ make
How to make it work?
From the command line, run:
$ ./path_to_build/bass path_to_img_or_folder -s ns
where ns is the desired number of initial seeds for superpixels. The command will apply BASS in all the images in the folder. Results will be stored in path_to_img_or_folder/output, that needs to be previously created at this point (will be fixed in future updates).
For instance, from the root folder of this repo:
$ ./code/build/bass imgs/ -s 50
If you use this code, please cite the following paper:
BASS: Boundary-Aware Superpixel Segmentation
Antonio Rubio, Longlong Yu, Edgar Simo-Serra, Francesc Moreno-Noguer
International Conference on Pattern Recognition (ICPR), 2016
@InProceedings{RubioICPR2016,
author = {Antonio Rubio and Longlong Yu and Edgar Simo-Serra and Francesc Moreno-Noguer},
title = {{BASS: Boundary-Aware Superpixel Segmentation}},
booktitle = "Proceedings of the International Conference on Pattern Recognition (ICPR)",
year = 2016,
}
Some tools for this code are extracted and/or modified from D.Stutz's work [1].
[1] D. Stutz, A. Hermans, B. Leibe.
Superpixel Segmentation using Depth Information.
Bachelor thesis, RWTH Aachen University, Aachen, Germany, 2014.