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Authors: Elaine Ayumi Chiba 1 ; Marco Antonio Garcia Carvalho 1 and André Luís Costa 2

Affiliations: 1 School of Technology - FT and University of Campinas - UNICAMP, Brazil ; 2 School of Electrical and Computer Engineering - FEEC and University of Campinas - UNICAMP, Brazil

Keyword(s): Image Segmentation, Graph Partitioning, Cut, Mean Cut, Hierarchical Clustering.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Segmentation and Grouping

Abstract: Graph partitioning, or graph cut, has been studied by several authors as a tool for image segmentation. It refers to partitioning a graph into several subgraphs such that each of them represents a meaningful object of interest in the image. In this work we propose a hierarchical agglomerative clustering algorithm driven by the cut and mean cut criteria. Some preliminary experiments were performed using the benchmark of Berkeley BSDS500 with promising results.

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Paper citation in several formats:
Chiba, E.; Carvalho, M. and Costa, A. (2014). Graph Cut and Image Segmentation using Mean Cut by Means of an Agglomerative Algorithm. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP; ISBN 978-989-758-003-1; ISSN 2184-4321, SciTePress, pages 708-712. DOI: 10.5220/0004858207080712

@conference{visapp14,
author={Elaine Ayumi Chiba. and Marco Antonio Garcia Carvalho. and André Luís Costa.},
title={Graph Cut and Image Segmentation using Mean Cut by Means of an Agglomerative Algorithm},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP},
year={2014},
pages={708-712},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004858207080712},
isbn={978-989-758-003-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP
TI - Graph Cut and Image Segmentation using Mean Cut by Means of an Agglomerative Algorithm
SN - 978-989-758-003-1
IS - 2184-4321
AU - Chiba, E.
AU - Carvalho, M.
AU - Costa, A.
PY - 2014
SP - 708
EP - 712
DO - 10.5220/0004858207080712
PB - SciTePress

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