Sanitary Ceramic Surface Defect Detection Method Based on Neighborhood Pixel Gray Information

Computer image processing technology has been widely used in ceramic product defect detection. However, there are few studies on automatic defect detection methods for ceramic products with complex surface geometry, such as ceramic wash basins. The main difficulty is that this type of sanitary ceramic product has a complex surface, strong light reflection, and very little texture information. It is hard to find a perfect illumination to make the defects obvious. In view of the above problems, this paper proposes a defect detection method based on the neighborhood pixel gray threshold, and conducts defect detection tests on the imaging results of ceramic wash basins with cracks on the surface under general light conditions, and obtains good results.