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Authors: Thanh-Khoa Nguyen 1 ; Mickael Coustaty 2 and Jean-Loup Guillaume 2

Affiliations: 1 L3i Laboratory, University of La Rochelle, France, Ca Mau Community College and Vietnam ; 2 L3i Laboratory, University of La Rochelle and France

Keyword(s): Image Segmentation, Complex Networks, Modularity, Superpixels, Louvain Algorithm, Community Detection.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping

Abstract: This paper presents an image segmentation strategy using histograms of oriented gradients (HOG), color features and Louvain method, a community detection on graphs algorithm, to tackle the image segmentation problem. This strategy relies on the use of community detection based image segmentation which often leads to over-segmented results. To address this problem, we propose an algorithm that agglomerates homogeneous regions using texture and color features properties. The proposed algorithm is tested on the publicly available Berkeley Segmentation Dataset (BSDS300 and BSDS500), and the Microsoft Research Cambridge Object Recognition Image Database (MSRC) datasets. The experimental results point out that our method produces sizable segmentation and outperforms almost other known methods in terms of accuracy and comparative metrics scores.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Nguyen, T.; Coustaty, M. and Guillaume, J. (2019). A Combination of Histogram of Oriented Gradients and Color Features to Cooperate with Louvain Method based Image Segmentation. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 280-291. DOI: 10.5220/0007389302800291

@conference{visapp19,
author={Thanh{-}Khoa Nguyen. and Mickael Coustaty. and Jean{-}Loup Guillaume.},
title={A Combination of Histogram of Oriented Gradients and Color Features to Cooperate with Louvain Method based Image Segmentation},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP},
year={2019},
pages={280-291},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007389302800291},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP
TI - A Combination of Histogram of Oriented Gradients and Color Features to Cooperate with Louvain Method based Image Segmentation
SN - 978-989-758-354-4
IS - 2184-4321
AU - Nguyen, T.
AU - Coustaty, M.
AU - Guillaume, J.
PY - 2019
SP - 280
EP - 291
DO - 10.5220/0007389302800291
PB - SciTePress