Texture feature extraction using an orthogonal transform of arbitrarily shaped image regions

Jaroslav Polec; Wanda Benešová; Radoslav Vargic; Ivana Ilčíková; Tibor Csóka

doi:10.1117/1.JEI.25.6.061413

16 September 2016 Texture feature extraction using an orthogonal transform of arbitrarily shaped image regions

Jaroslav Polec, Wanda Benešová, Radoslav Vargic, Ivana Ilčíková, Tibor Csóka

Author Affiliations +

Journal of Electronic Imaging, Vol. 25, Issue 6, 061413 (September 2016). https://doi.org/10.1117/1.JEI.25.6.061413

Abstract

Image oversegmentation creates small, compact, and irregularly shaped regions subject to further clustering. Consideration of texture characteristics can improve the resulting quality of the clustering process. Existing methods based on an orthogonal transform into frequency domain can extract texture features of arbitrarily shaped regions only from inscribed rectangles. We propose a method for extracting texture features of entire arbitrarily shaped image regions using orthogonal transforms. Furthermore, we introduce a mathematically correct method for unifying spectral dimensions that is necessary for accurate comparison and classification of spectra with different dimensions. The proposed method is particularly suitable for classifying areas with periodic and quasiperiodic textures. Our approach exploits the texture periodification property of certain orthogonal transforms that is based on insertion of zeros into the spectrum. We identified some of those orthogonal transforms which possess this important property and also provide mathematical proofs of our claims. Last, we show that inclusion of luminance and chrominance components into the feature vector increases the precision of the proposed method which then becomes suitable for natural scene images as well.

Citation Download Citation

Jaroslav Polec, Wanda Benešová, Radoslav Vargic, Ivana Ilčíková, and Tibor Csóka "Texture feature extraction using an orthogonal transform of arbitrarily shaped image regions," Journal of Electronic Imaging 25(6), 061413 (16 September 2016). https://doi.org/10.1117/1.JEI.25.6.061413

Published: 16 September 2016

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