Robust-to-rotation texture descriptor for image retrieval in wavelets domain

Jianmin Jiang; Ying Weng

doi:10.1117/1.2179421

1 January 2006 Robust-to-rotation texture descriptor for image retrieval in wavelets domain

Jianmin Jiang, Ying Weng

Author Affiliations +

Journal of Electronic Imaging, Vol. 15, Issue 1, 013013 (January 2006). https://doi.org/10.1117/1.2179421

Abstract

We describe a texture description algorithm, designed in the wavelets domain, to reduce the dimension of an existing texture-based feature vector and improve on the existing texture description algorithm in terms of both effectiveness and efficiency. We first demonstrate that the estimated texture directions at different wavelet decomposition scales are very similar. Thus, a new texture description with explicit direction representation can be constructed to improve discrimination capability. Second, we propose a subband integration scheme to further improve the texture description and achieve robustness to rotation of texture patterns. Third, a range of successful texture description elements developed in the pixel domain are applied to the LL subband and added to the texture descriptor for further enhancement of the proposed algorithm. Extensive testing, benchmarked by the existing techniques, shows that the proposed algorithm not only reduces the sensitivity of retrieval to image texture rotation, but also improves the retrieval accuracy.

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Jianmin Jiang and Ying Weng "Robust-to-rotation texture descriptor for image retrieval in wavelets domain," Journal of Electronic Imaging 15(1), 013013 (1 January 2006). https://doi.org/10.1117/1.2179421

Published: 1 January 2006

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