1 July 2008 Texture features based on local Fourier histogram: self-compensation against rotation
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J. of Electronic Imaging, 17(3), 030503 (2008). doi: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.
Ursani Ahsan Ahmad, Kpalma Kidiyo, Ronsin Joseph, "Texture features based on local Fourier histogram: self-compensation against rotation," Journal of Electronic Imaging 17(3), 030503 (1 July 2008). http://dx.doi.org/10.1117/1.2965439
Submission: Received ; Accepted
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KEYWORDS
Feature extraction

Image filtering

Phase shifts

Image retrieval

Image processing

Fourier transforms

Signal to noise ratio

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