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Robust color texture features based on ranklets and discrete Fourier transform

[+] Author Affiliations
Francesco Bianconi

Università degli Studi di Perugia, Dipartimento Ingegneria Industriale, Via G. Duranti, 67, 06125 Perugia, Italy

Antonio Fernández

Universidade de Vigo, Escuela Técnica Superior de Ingeniería Industrial, Campus Universitario—36310 Vigo, Spain

Elena González

Universidade de Vigo, Escuela Técnica Superior de Ingeniería Industrial, Campus Universitario—36310 Vigo, Spain

Julia Armesto

Universidade de Vigo, Escuela Técnica Superior de Ingeniería de Minas, Campus Universitario—36310 Vigo, Spain

J. Electron. Imaging. 18(4), 043012 (December 17, 2009). doi:10.1117/1.3273946
History: Received October 22, 2008; Revised October 28, 2009; Accepted October 28, 2009; Published December 17, 2009; Online December 17, 2009
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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.

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Citation

Francesco Bianconi ; Antonio Fernández ; Elena González and Julia Armesto
"Robust color texture features based on ranklets and discrete Fourier transform", J. Electron. Imaging. 18(4), 043012 (December 17, 2009). ; http://dx.doi.org/10.1117/1.3273946


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