Texture retrieval using periodically extended and adaptive curvelets

Hasan Al-Marzouqi; Yuting Hu; Ghassan AlRegib

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arXiv · 1905.09976

Texture retrieval using periodically extended and adaptive curvelets

Hasan Al-Marzouqi·Yuting Hu·Ghassan AlRegib

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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.

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eess.IV cs.CV

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Hasan Al-Marzouqi, Yuting Hu, Ghassan AlRegib. 2019-05-24. Texture retrieval using periodically extended and adaptive curvelets. https://arxiv.org/abs/1905.09976

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