Image Texture Classification Based on LS-SVM

Yan Ling Zhao; Xiao Shi Zheng; Guang Qi Liu; Na Li

doi:10.4028/www.scientific.net/AMM.182-183.869

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 182-183Image Texture Classification Based on LS-SVM

Image Texture Classification Based on LS-SVM

Abstract:

LS-SVM (Least Squares Support Vector Machine) is simple and has a good ability of non-linear regression. As inputs of LS-SVM, DC-Energy-Ratio and Deviation of image samples are extracted first. Output of LS-SVM is the current texture classification. The results show that LS-SVM classifies images accurately by training the proposed two features.