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This software can be used freely for research purposes.
Published reports of research using this code (or a modified version)
should cite the article that describes the algorithm:
X. Dong, J. Shen, L. Shao, and M. H. Yang, Interactive co-segmentation
using global and local energy optimization, IEEE Trans. on Image Processing,
24(11):3966-3977, 2015
This code has been compiled and tested using matlab R2011b
version 1.0,
rewritten and updated by Xingping Dong, Aug. 2, 2015
Email: shenjianbing@bit.edu.cn / dongxingping@bit.edu.cn
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How to use
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1. There is one demo function. You can directly run it.
demo_lsr_iCoseg_hist.m
2. The results are shown in '.\results'.
3. You can add some scribbles into the images in '.\Datasets\scribbles\cow'to
improve the performance.
4. You can also add new images group into '.\Datasets\images' and corresponding
scribbled images into '.\Datasets\scribbles'. And then you should modify the code:
dataset = 'cow\'; in demo_lsr_iCoseg_hist.m
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X. Dong, J. Shen, L. Shao, and M. H. Yang, Interactive co-segmentation
using global and local energy optimization, IEEE Trans. on Image Processing,
24(11):3966-3977, 2015