A carton defect detection method based on block feature matching is proposed

aiming at the problem of carton defects in transportation. In this method

the carton image to be tested is matched with the known pattern feature to accomplish the separation of the patterned and nonpatterned area of the carton image. The canny edge detection algorithm is combined with the image moment to calculate the edge contour area to identify the defect in the nonpatterned area. The pattern area to be tested is matched with the feature point of known patterns with the improved ORB algorithm combined with the grid motion statistics method

and the matching rate is calculated to identify the defects. The experimental results show that the accuracy of the proposed method is 91. 5 % and93. 5 % respectively

which has high identification rate.