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

De Cheng Gao; Bin Liu; Jian Guo Wang

doi:10.4028/www.scientific.net/AMM.39.226

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 39Texture Classification Research Based on the...

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

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volume 39)

Pages:

226-231

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.39.226

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Online since:

November 2010

Authors:

De Cheng Gao, Bin Liu, Jian Guo Wang

Keywords:

Log-Polar Transform, Stationary Wavelet Transform (SWT), Support Vector Machine (SVM), Texture Classification

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