Compact Color Texture Representation by Feature Selection in Multiple Color Spaces

M. Alimoussa, N. Vandenbroucke, A. Porebski, R. Oulad Haj Thami, S. El Fkihi, D. Hamad

2019

Abstract

This paper presents a compact color texture representation based on the selection of features extracted from different configurations of descriptors computed in multiple color spaces. The proposed representation aims to take simultaneously into account several spatial and color properties of different textures. For this purpose, texture images are coded in five different color spaces. Then, texture descriptors with different neighborhood and quantization parameter settings, are calculated from this images in order to extract a high dimensionality feature vector describing the textures. Compact representation is finally obtained by means of a feature selection scheme. Our approach is applied with two well-known color texture descriptors for the classification of three benchmark image databases.

Paper Citation

in Harvard Style

Alimoussa M., Vandenbroucke N., Porebski A., Thami R., El Fkihi S. and Hamad D. (2019). Compact Color Texture Representation by Feature Selection in Multiple Color Spaces. 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, SciTePress, pages 436-443. DOI: 10.5220/0007578704360443

in Bibtex Style

@conference{visapp19,
author={M. Alimoussa and N. Vandenbroucke and A. Porebski and R. Oulad Haj Thami and S. El Fkihi and D. Hamad},
title={Compact Color Texture Representation by Feature Selection in Multiple Color Spaces},
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={436-443},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007578704360443},
isbn={978-989-758-354-4},
}

in EndNote Style

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 - Compact Color Texture Representation by Feature Selection in Multiple Color Spaces
SN - 978-989-758-354-4
AU - Alimoussa M.
AU - Vandenbroucke N.
AU - Porebski A.
AU - Thami R.
AU - El Fkihi S.
AU - Hamad D.
PY - 2019
SP - 436
EP - 443
DO - 10.5220/0007578704360443
PB - SciTePress