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Journal of Electronic Imaging • Open Access

Texture features based on local Fourier histogram: self-compensation against rotation
Author(s): Ursani Ahsan Ahmad; Kpalma Kidiyo; Ronsin Joseph

Paper Abstract

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.

Paper Details

Date Published: 1 July 2008
PDF: 3 pages
J. Electron. Imag. 17(3) 030503 doi: 10.1117/1.2965439
Published in: Journal of Electronic Imaging Volume 17, Issue 3
Show Author Affiliations
Ursani Ahsan Ahmad, Institut National des Sciences Appliquées de Rennes (France)
Kpalma Kidiyo, Institut National des Sciences Appliquées de Rennes (France)
Ronsin Joseph, Institut National des Sciences Appliquées de Rennes (France)

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