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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Image Co-Segmentation via Examples Guidance

Author 1: Rachida Es-Salhi
Author 2: Imane Daoudi
Author 3: Hamid El Ouardi

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0100165

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 1, 2019.

  • Abstract and Keywords
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Abstract: Given a collection of images which contains objects from the same category, the co-segmentation methods aim at simultaneously segmenting such common objects in each image. Most of existing co-segmentation approaches rely on comput-ing similarities inter-regions representing foregrounds in these images. However, region similarity measurement is challenging due to the large appearance variations among objects in the same category. In addition, for real-world images which have cluttered backgrounds, the existing co-segmentation approaches miss sufficient robustness to extract the common object from the background. In this paper, we propose a new co-segmentation method which takes advantage of the reliable segmentation of few selected images, in order to guide the segmentation of the remaining images in the collection. A random sample of images is first selected from the image collection. Then, the selected images are segmented using an interactive segmentation method. These segmentation results are used to construct positive/negative samples of the targeted common object and background regions respectively. Finally, these samples are propagated to the remain-ing images in the collection through computing both local and global consistency. The experiments on the iCoseg and MSRC datasets demonstrate the performance and robustness of the proposed method.

Keywords: Co-segmentation; image segmentation; segmentation propagation; MRF based segmentation

Rachida Es-Salhi, Imane Daoudi and Hamid El Ouardi, “Image Co-Segmentation via Examples Guidance” International Journal of Advanced Computer Science and Applications(IJACSA), 10(1), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100165

@article{Es-Salhi2019,
title = {Image Co-Segmentation via Examples Guidance},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100165},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100165},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {1},
author = {Rachida Es-Salhi and Imane Daoudi and Hamid El Ouardi}
}


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