Texture Classification Research Based on the Logarithmic Polar Coordinates Transform and Support Vector Machine

Abstract:

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In this paper, we have investigated an approach based on log-polar transform and support vector machine (SVM) for texture classification. Firstly, we convert rotation into translation, which reduced the effect of rotation and scale changes using the characteristics of logarithm Polar transformation. Then we extract texture feature after eliminating translation using smooth discrete wavelet transform (SWT) with translation invariant. Finally, support vector machines(SVM) are adopted to the texture classification. The experiment results show the proposed approach can get improved results for texture classification.

Info:

Periodical:

Edited by:

Yuanzhi Wang

Pages:

226-231

DOI:

10.4028/www.scientific.net/AMM.39.226

Citation:

D. C. Gao et al., "Texture Classification Research Based on the Logarithmic Polar Coordinates Transform and Support Vector Machine", Applied Mechanics and Materials, Vol. 39, pp. 226-231, 2011

Online since:

November 2010

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Price:

$35.00

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