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Authors: Vinh Truong Hoang ; Alice Porebski ; Nicolas Vandenbroucke and Denis Hamad

Affiliation: Laboratoire d’Informatique Signal et Image de la Côte d’Opale, France

Keyword(s): Histogram Selection, Feature Selection, LBP Color Histogram, Texture Classification, Sparse Representation.

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

Abstract: In computer vision fields, LBP histogram selection techniques are mainly applied to reduce the dimension of color texture space in order to increase the classification performances. This paper proposes a new histogram selection score based on Jeffrey distance and sparse similarity matrix obtained by sparse representation. Experimental results on three benchmark texture databases show that the proposed method improves the performance of color texture classification represented in different color spaces.

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Paper citation in several formats:
Hoang, V.; Porebski, A.; Vandenbroucke, N. and Hamad, D. (2017). LBP Histogram Selection based on Sparse Representation for Color Texture Classification. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP; ISBN 978-989-758-225-7; ISSN 2184-4321, SciTePress, pages 476-483. DOI: 10.5220/0006128204760483

@conference{visapp17,
author={Vinh Truong Hoang. and Alice Porebski. and Nicolas Vandenbroucke. and Denis Hamad.},
title={LBP Histogram Selection based on Sparse Representation for Color Texture Classification},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP},
year={2017},
pages={476-483},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006128204760483},
isbn={978-989-758-225-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP
TI - LBP Histogram Selection based on Sparse Representation for Color Texture Classification
SN - 978-989-758-225-7
IS - 2184-4321
AU - Hoang, V.
AU - Porebski, A.
AU - Vandenbroucke, N.
AU - Hamad, D.
PY - 2017
SP - 476
EP - 483
DO - 10.5220/0006128204760483
PB - SciTePress

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