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Article Dans Une Revue Journal of Electronic Imaging Année : 2008

Texture features based on local Fourier histogram: self-compensation against rotation

Résumé

We present a method of introducing rotation invariance in texture features based on a local Fourier histogram (LFH) computed using a 1-D discrete Fourier transform (DFT). To compensate for image rotation, a local image-gradient angle at each image pixel is found from within one of the 1-D DFT coefficients. The rotation invariance is established theoretically, analytically as well as empirically. The rotation-compensated features extracted from the same texture image oriented at different angles exhibit very high cross correlation. Therefore, the proposed texture features are expected to yield very high accuracies for a variety of image data and applications. The improved LFH-based features outperform the earlier version of the features and the features based on Gabor filters in texture recognition on 8560 images from the Brodatz album.

Dates et versions

hal-00335073 , version 1 (28-10-2008)

Identifiants

Citer

Ahsan Ahmad Ursani, Kidiyo Kpalma, Joseph Ronsin. Texture features based on local Fourier histogram: self-compensation against rotation. Journal of Electronic Imaging, 2008, 17 (03), pp.3. ⟨10.1117/1.2965439⟩. ⟨hal-00335073⟩
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