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Authors: Anita Keszler ; Tamás Szirányi and Zsolt Tuza

Affiliation: Hungarian Academy of Sciences, Hungary

Keyword(s): Image segmentation, Focus map, Graph-based clustering, Dense subgraph mining.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Digital Image Processing ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Mathematical Morphology

Abstract: We introduce a new method for image segmentation tasks by using dense subgraph mining algorithms. The main advantage of the present solution is to treat the out-of-focus, noise and corruption problems in one unified framework, by introducing a theoretically new image segmentation method based on graph manipulation. This demonstrated development is however a proof of concept: how dense subgraph mining algorithms can contribute to general segmentation problems.

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Paper citation in several formats:
Keszler, A.; Szirányi, T. and Tuza, Z. (2011). GRAPH BASED SOLUTION FOR SEGMENTATION TASKS IN CASE OF OUT-OF-FOCUS, NOISY AND CORRUPTED IMAGES. In Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2011) - IMAGAPP; ISBN 978-989-8425-46-1, SciTePress, pages 100-105. DOI: 10.5220/0003379401000105

@conference{imagapp11,
author={Anita Keszler. and Tamás Szirányi. and Zsolt Tuza.},
title={GRAPH BASED SOLUTION FOR SEGMENTATION TASKS IN CASE OF OUT-OF-FOCUS, NOISY AND CORRUPTED IMAGES},
booktitle={Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2011) - IMAGAPP},
year={2011},
pages={100-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003379401000105},
isbn={978-989-8425-46-1},
}

TY - CONF

JO - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2011) - IMAGAPP
TI - GRAPH BASED SOLUTION FOR SEGMENTATION TASKS IN CASE OF OUT-OF-FOCUS, NOISY AND CORRUPTED IMAGES
SN - 978-989-8425-46-1
AU - Keszler, A.
AU - Szirányi, T.
AU - Tuza, Z.
PY - 2011
SP - 100
EP - 105
DO - 10.5220/0003379401000105
PB - SciTePress

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