Texture Feature Extraction Research Based on GLCM-CLBP Algorithm
Xuejing Ding · 2017
In view of the existing texture feature extraction method of computational complexity and accuracy problems, this paper proposes a calculation method fused with Complete Local Binary Patterns (CLBP) and Gray-level Co-occurrence Matrix (GLCM).This method uses the rotation invariant CLBP operator to process the texture image and get the CLBP image, then calculate the GLCM of the CLBP image, use the contrast, correlation, energy and inverse difference moment to describe the image texture feature.The experimental results show that the method can reduce the feature parameters at the same time, also improved the texture description ability.