Texture Feature Extraction using Slant-Hadamard Transform

Authors: M. J. Nassiri, A. Vafaei, A. Monadjemi

Abstract:

Random and natural textures classification is still one of the biggest challenges in the field of image processing and pattern recognition. In this paper, texture feature extraction using Slant Hadamard Transform was studied and compared to other signal processing-based texture classification schemes. A parametric SHT was also introduced and employed for natural textures feature extraction. We showed that a subtly modified parametric SHT can outperform ordinary Walsh-Hadamard transform and discrete cosine transform. Experiments were carried out on a subset of Vistex random natural texture images using a kNN classifier.

Keywords: Texture Analysis, Slant Transform, Hadamard, DCT.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1076650

References:

[1] S. Agaian, K. Tourshan, and J. P. Noonan, "Parametric Slant- Hadamard Transforms With Applications", IEEE Signal Processing Letters, Vol 9, No 11, November 2002.
[2] A. Monadjemi, B.T. Thomas, and M. Mirmehdi, "Speed v. Accuracy for High Resolution Colour Texture Classification" Proceedings of the BMVC 2002 Conference, Cardiff, Wales, Sept 2002 .
[3] H. Enomoto and K. R. Shibata, "Orthogonal transform system for television signals", IEEE Trans, Electromagn. Compat. 13(1971), 11- 17
[4] A. Monadjemi, "Towards Efficient Texture Classification and Abnormality Detection", PHD Thesis of university of Bristol, October 2004
[5] W.K Pratt, L.R. Welch and W.H. Chen, "Slant transform for image coding", Proc. Applications of Walsh functions, 1972
[6] W.K Pratt, L.R. Welch and W.H. Chen, "Slant transform for image coding", IEEE Trans. Commun. 22(8) (1974), 1075-1093.
[7] S. Lee, H. Jung Bae, and S. Hwan Jung, "Efficient Content-Based Image Retrieval Methods Using Color and Texture", ETRI Journal 20 (1998) 272-283.
[8] N. Ahmed and K. R. Rao, "Orthogonal Transforms for Digital Signal Processing", New York: Springer-Verlag, 1975.
[9] P. C. Mali, B. B. Chaudhuri, and D. D. Majumder, "Some properties and fast algorithms of slant transform in image processing," Signal Processing, vol. 9, pp. 233-244, 1985.
[10] S. Agaian, K. Tourshan, and J. P. Noonan,"Partially Signal Dependent Slant Transforms for Multispectral Calassification", Integrated Computer-Aided Engineering 10(2003) 23-35 IOS Press.
[11] K. G. Beauchamp. "Applications of Walsh and Related Functions". Academic Press, 1984.
[12] R. C. Gonalez and R. E. Woods, "Digital Image Processing", Addison-Wesley Publishing Company, 1992.
[13] P.C. Mali and D. D. Majumder, "An analytical comparative study of a class of discrete linear basis tramsforms", IEEE Trans. Syst., Man & Cyber. 24(3) (1994), 531-535.
[14] M. Tuceryan and A. Jain. "Texture analysis". In The Handbook of Pattern Recognition and Computer Vision, pages 207-248. World Scientific, 1998.
[15] MIT Media Lab. VisTex: Vision Texture database. Retrieved 1 Sep 2005 from the World Wide Web: http://wwwwhite.media.mit.edu/vismod/imagery/VisionTexture/vistex .html, 2005.
[16] Z. Xin Hou, N. Xu, H. Chen, and X. Leili, "Fast Slant Transform With Sequency Increment and its Application in Image Compression", Proceedmgs of the Third International Conference on Machine Learning and Cybemetics, Shanghai, August 2004
[17] H. Hasanpor, K. Jamshidi ,and A. Monadjemi, "Steel Surface inspection using Local Binary Pattern and Color Features", 16th International Conference on Computer Theory and Applications, September 2006.