Texture Feature Extraction for Color Images Based on Quaternion Representation

Abstract:

In order to get texture features of color image, we proposed a new algorithm which is adapted to extract the texture features for color images in this paper. Firstly, the proposed method adopt quaternion to color image processing that can represent the color image in a holistic manner and parallel processing the R, G and B components. Secondly, we can obtain the directional information and texture features by Quaternion Gabor Filter. The experimental results show that texture feature obtained by our method has good the discrimination power and classifing performance.

• Periodical: Advanced Materials Research (Volumes 712-715)
• Pages: 2336-2340
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.712-715.2336
• Online since: June 2013
• Authors: Chuan Bo Huang, Zi Ping Zhou
• Keywords: Quaternion, Quaternion Gabor Filter, Texture Feature

References

[1] S.E. Grigorescu, N. Petkov, P. Kruizinga: Comparison of texture features based on Gabor filters. IEEE Trans. on Image ProcessingIP (11), No. 10, 1160-1167 (2002).

DOI: 10.1109/tip.2002.804262

[2] S. Arivazhagan, L. Ganesan: Texture segmentation using wavelet transform. PRL(24), No. 16, 3197-3203 (2003).

DOI: 10.1016/j.patrec.2003.08.005

[3] Z. Lu, W. Xie, J. Pei, and J. Huang: Dynamic texture recognition by spatiotemporal multiresolution histogram. In Proc. IEEE Workshop on Motion and Video Computing (WACV/MOTION'05), (2005).

DOI: 10.1109/acvmot.2005.44

[4] M. A. Hoang, J. M. Geusebroek, and A. W. M. Smeulders: Color texture measurement and segmentation. Signal Processing, 85(2), 265-275 (2005).

DOI: 10.1016/j.sigpro.2004.10.009

[5] S.J. Sangwine, and T. A. Ell: Hypercomplex Fourier Transforms of Colour Images. IEEE International Conference on Image Processing (ICIP 2001), Thessaloniki, Greece, I, 137-140 (2001).

DOI: 10.1109/icip.2001.958972

[6] N. Le Bihan and S.J. Sangwine: Quaternion Principal Component Analysis of Colour images. IEEE International Conference on Image Processing (ICIP), I, 809-812 (2003).

DOI: 10.1109/icip.2003.1247085

[7] Ozlem N. Subakan and Baba C. Vemuri: Quaternion-Based Color Image Smoothing Using a Spatially Varying Kernel. EMMCVPR 2009, LNCS 5681, pages 415-428(2009).

DOI: 10.1007/978-3-642-03641-5_31

[8] Ahonen T, Matas J, He C, Pietikinen M. Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features. in Image Analysis, SCIA 2009 Proceedings, Lecture Notes in Computer Science 5575, pages 61-70(2009).

DOI: 10.1007/978-3-642-02230-2_7

[9] Sangwine, S., Ell, T.A.: The discrete fourier transform of a colour image. In: Blackledge, J.M., Turner, M.J. (eds.) Image Processing II: Mathematical Methods, Algorithms and Applications, pp.430-441 (2000).

[10] Minh N. Do, Martin Vetterli: Rotation Invariant Texture Characterization and Retrieval Using Steerable Wavelet-Domain. IEEE TRANSACTIONS ON MULTIMED IA, VOL. 4, NO. 4, DECEMBER 517-527(2002).

DOI: 10.1109/tmm.2002.802019

[11] Y. F. Zhao, L. Z. Xia and H. Pan: Contourlet-based Feature Extraction for Texture Images. SIGNAL PROCESSING. Vol. 26. No. 2, 161-165(2010).