Local Rotation Pattern: A Local Descriptor of Color Textures

Hela Jebali, Noël Richard, Mohamed Naouai

2020

Abstract

Describing color textures is an extremely challenging problem in pattern recognition and computer vision. In this paper, a new texture feature is proposed and investigated for color texture image classification. Based on quaternion representation of color images and quaternion rotation, a Local Rotation Pattern descriptor (LRP) is proposed. Using quaternion to represent color images is done by encoding the three RGB channels into the three imaginary parts of a quaternion. The distance between two color can be expressed as the angle of rotation between two unit quaternions using the geodesic distance to obtain finally our LRP histograms. Performance in texture classification is assessed for three challenging datasets: Vistex, Outex-TC13 and USPtex databases facing to the recent results from the state-of-the-art. Results show the high efficiency of the proposed approach.

Paper Citation

in Harvard Style

Jebali H., Richard N. and Naouai M. (2020). Local Rotation Pattern: A Local Descriptor of Color Textures.In Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-443-5, pages 567-573. DOI: 10.5220/0009827805670573

in Bibtex Style

@conference{icsoft20,
author={Hela Jebali and Noël Richard and Mohamed Naouai},
title={Local Rotation Pattern: A Local Descriptor of Color Textures},
booktitle={Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2020},
pages={567-573},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009827805670573},
isbn={978-989-758-443-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Local Rotation Pattern: A Local Descriptor of Color Textures
SN - 978-989-758-443-5
AU - Jebali H.
AU - Richard N.
AU - Naouai M.
PY - 2020
SP - 567
EP - 573
DO - 10.5220/0009827805670573