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

Ursani Ahsan Ahmad; Kpalma Kidiyo; Ronsin Joseph

doi:10.1117/1.2965439

1 July 2008 Texture features based on local Fourier histogram: self-compensation against rotation

Ursani Ahsan Ahmad, Kpalma Kidiyo, Ronsin Joseph

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Journal of Electronic Imaging, Vol. 17, Issue 3, 030503 (July 2008). https://doi.org/10.1117/1.2965439

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.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Ursani Ahsan Ahmad, Kpalma Kidiyo, and Ronsin Joseph "Texture features based on local Fourier histogram: self-compensation against rotation," Journal of Electronic Imaging 17(3), 030503 (1 July 2008). https://doi.org/10.1117/1.2965439

Published: 1 July 2008

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