INSPECTION METHOD FOR APPEARANCE BADNESS AND INSPECTION SYSTEM FOR APPEARANCE BADNESS

摘要

An appearance defect inspection method of the present invention comprises the steps of: acquiring an inspection image; recovering the inspection image by means of a trained denoising auto-encoder (dA), and extracting a difference between the recovered image and the inspection image to a recovery error map; converting the recovery error map to a binary error map; sizing a defect area in the binary error map by means of morphology image processing and blob processing, and detecting a defect candidate whose size of defect area is greater than a predetermined size; extracting a region of interest (ROI) patch of the defect candidate, and scaling the ROI patch to a predetermined size; and calculating a defect probability of the scaled ROI patch of the defect candidate by means of a learned convolution neural network (CNN), and determining the defect candidate to be a defective product if the defect probability is greater than a predetermined value, or determining the defect candidate to be an acceptable product if the defect probability is equal to or less than the predetermined value.