关键词: LBP算法, 铸件, 噪声, 鲁棒性, 韦伯LBP算法（WLBP）, WALBP算法, 缺陷检测

Abstract: For traditional LBP（Local Binary Pattern） algorithm is sensitive to noise and lead to the lower recognition rate in DR image defect detection, an improved WALBP（Weber Adapted Local Binary Patterns） algorithm is proposed on the basis of the existing of Weber LBP（WLBP） algorithm. WALBP algorithm retains the characteristics which form the two-dimensional histogram, the LBP operator and LoG（Laplacian of Gaussian） method that used are improved. WALBP algorithm is more effective to describe the DR image texture feature, and effectively solves the WLBP（Weber Local Binary Pattern） operator in defect detection histogram more dimension classification and capability is not strong. Through analyzing casting DR image experiments, the results show that compared with the existing WLBP algorithm and the traditional LBP algorithm, WALBP algorithm has higher recognition rate on defect detection, in the defect recognition technology has a high application value.

Key words: Local Binary Pattern（LBP）, casting, noise, robustness, Weber LBP（WLBP）, Weber Adapted Local Binary Patterns（WALBP）, defect detection