1 October 2009 Robust color texture features based on ranklets and discrete Fourier transform
Francesco Bianconi, Antonio Fernández, Elena González, Julia Armesto
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Abstract
We present a set of multiscale, multidirectional, rotation-invariant features for color texture characterization. The proposed model is based on the ranklet transform, a technique relying on the calculation of the relative rank of the intensity level of neighboring pixels. Color and texture are merged into a compact descriptor by computing the ranklet transform of each color channel separately and of couples of color channels jointly. Robustness against rotation is based on the use of circularly symmetric neighborhoods together with the discrete Fourier transform. Experimental results demonstrate that the approach shows good robustness and accuracy.
©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
Francesco Bianconi, Antonio Fernández, Elena González, and Julia Armesto "Robust color texture features based on ranklets and discrete Fourier transform," Journal of Electronic Imaging 18(4), 043012 (1 October 2009). https://doi.org/10.1117/1.3273946
Published: 1 October 2009
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CITATIONS
Cited by 26 scholarly publications.
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KEYWORDS
RGB color model

Feature extraction

Fourier transforms

Image classification

Matrices

Optical filters

Wavelets

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