OpenCV - based 3D printing physical surface defect detection

with the development of the society, The demand for daily necessities continues to increase, At the same time, the production efficiency and quality requirements of the products are getting higher and higher. Aiming at this problem A feasible method for 3D printing physical surface defect detection based on OpenCV. Get the products you need quickly through reverse technology, Guaranteed efficient production. At the same time, using OpenCV-based surface defect inspection to ensure product quality. First, obtain a physical surface image through a color industrial CCD camera. Secondly, the histogram equalization method can enhance the contrast of the image and Image preprocessing. Finally, image morphological segmentation of dual-core defect recognition technology is used to detect the position of physical surface defects. This method can accurately detect 3D printing physical surface defects. Achieved the intended purpose.