Abstract
An advanced local binary patterns method was proposed to describe the main image features.Adaptive Local Binary Patterns (ALBP) method selected the frequently occurring patterns to construct the main pattern set,which avoids using the same pattern set to depict different texture structures in the traditional uniform local binary patterns.Based on the proposed method,an effective fabric defect detection algorithm of Support Vector Machine (SVM) was designed.First,the features of the training samples were extracted according to the set and were fed to SVM.Then the testing image was equally divided into detection windows from which ALBP features were also extracted and were classified by the trained SVM model.The experiments exhibit the detection effect of the proposed method is comparatively better than traditional LBP in terms of visual effect and detection accuracy.
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