Texture Recognition Based on Texture Spectrum Subset
Xiaoyang Tan · Jiangnan daxue xuebao. Ziran kexue ban · 2007
Texture spectrum method is very effective in extracting texture features,and has received a wide range of applications.However,it contains as large as 6 561(38) bins,which leads to large storage and computational costs.To address this problem,Local Binary Pattern(LBP) approach simplifies the definition of the texture spectrum but at the price of weakening its capability for texture description.The paper proposes alternative texture spectrum descriptors with the merits of high discrimination power and low computational costs.Inspired by the uniform pattern in LBP,a novel encoding method is proposed which allows us to use only a portion(about 12%) of the whole texture spectrum for texture description.The experimental results on the Brodatz database indicate that the proposed method yields better performance than the original TS features with significantly lower computational costs.