The invention provides a
ceramic substrate defect intelligent classification method based on central
Gaussian kernel distribution. The method comprises the following steps: constructing a
ceramic substrate defect
data set; acquiring a defect
cutting image and a
Gaussian kernel distribution identification image corresponding to the defect
cutting image; building and training a
ceramic substrate defect intelligent classification
network model; evaluating a
ceramic substrate defect intelligent classification
network model; and carrying out defect classification on the
ceramic substrate defective products. According to the
ceramic substrate defect intelligent classification method based on central
Gaussian kernel distribution, defect images detected by a 2D
visual detection algorithm are preprocessed, the ceramic substrate defect intelligent classification
network model is established, and different Gaussian kernel distributions are used as defect image feature characterization, so that the defect classification accuracy is effectively improved, and the defect classification efficiency is improved. The
detection rate of interference defects is reduced, and the
quality safety of the ceramic substrate is improved.