Study on Edge Detection Method of Aluminum Foil Image

The machine vision method is used to detect the surface defects of aluminum foil image, as the problem of location deviation is inevitable in image sequence imaging, and an image edge detection algorithm is used to extract aluminum foil image sequences efficiently. Firstly, the SUSAN operator is used to detect the edge of the foil image, and threshold aluminum foil images are obtained to determine the effective region of the foil in the image. Then, the nearest neighbor pixel filling method is used to carry out the nonlinear correction of the extracted aluminum foil image boundary. The experimental results show that the proposed method can extract the aluminum foil region quickly and accurately, and it lays a good foundation for the detection and recognition of aluminum foil surface defects.