Texture Feature Extraction Method Fused with LBP and GLCM
Kou Xi · Jisuanji gongcheng · 2012
In order to extract effective features for texture description and classification,this paper proposes a texture feature extraction method fused with Local Binary Pattern(LBP) and Gray-level Co-occurrence Matrix(GLCM).The texture image is processed by rotation invariant LBP operator.The LBP image is obtained and its GLCMs are calculated.Contrast,correlation,energy and inverse difference moment are imposed for texture description.Experimental results show that,compared with other methods,the proposed method is more effective in texture feature extraction and the average classification accuracy reaches to 93%.