Abstract Texture analysis based on Global Binary Pattern (GBP) is proposed to solve the problem that Local Binary Pattern (LBP) is sensitive to noises. In GBP,center pixels used in LBP are replaced by the mean values of large neighborhood templates,and effects of noises are weakened. However,the resistance to uneven illumination by GBP is worse than that by LBP. For surface defect recognition of steel plates,both noises and uneven illumination are serious in the images of steels. The combination of GBP and LBP with bivariate histogram is presented and applied to surface defect recognition of steel plates and slabs. The experimental results show that the combination of GBP and LBP is invariant to uneven illumination and insensitive to noises,and classification rate of cracks is up to 96%.
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2013, Vol. 26 
