Texture retrieval using periodically extended and adaptive curvelets
Image and Video Processing
2019-05-27 v1 Computer Vision and Pattern Recognition
Abstract
Image retrieval is an important problem in the area of multimedia processing. This paper presents two new curvelet-based algorithms for texture retrieval which are suitable for use in constrained-memory devices. The developed algorithms are tested on three publicly available texture datasets: CUReT, Mondial-Marmi, and STex-fabric. Our experiments confirm the effectiveness of the proposed system. Furthermore, a weighted version of the proposed retrieval algorithm is proposed, which is shown to achieve promising results in the classification of seismic activities.
Keywords
Cite
@article{arxiv.1905.09976,
title = {Texture retrieval using periodically extended and adaptive curvelets},
author = {Hasan Al-Marzouqi and Yuting Hu and Ghassan AlRegib},
journal= {arXiv preprint arXiv:1905.09976},
year = {2019}
}