Strip surface detection is one of the basic process of strip quality control

existing methods for strip surface detection couldn’t meet the accuracy and real-time capability for industrial spots. To solve these problems

in this paper

a detection method of primary strip surface defect based on the local binary pattern (LBP) algorithm is proposed. Firstly

the LBP values of each pixel in strip image are calculated by employing a fast LBP algorithm. Then by constructing the LBP histogram

the information of principal edge points belonging to different types of defection is obtained. After thresholding

the existence and the location of defect in the image are suggested. Experimental results show

the proposed method not only has higher accuracy and real-time capability on the primary strip surface defect detection

but also can offer reliable structural and statistical feature information for further defect classification.