关键词: 微分几何, 柔性电路板, 图像轮廓提取, 特定区域识别

Abstract: To solve the problem of area classification in defect detection of flexible printed circuit,a method for extracting the surface contour of the flexible circuit board and identify specific areas was proposed.To accurately extract the overall outline of Flexible Printed Circuit (FPC) image,the area growth method was used to extract the image outline for the problem of uneven illumination with many spots and impurities on FPC surface image,and the central neighborhood grayscale method was used to eliminate the problem of undergrowth.To effectively identify the contour types of image different regions,a two-way difference method was used to calculate the discrete curvature of the image contour,and Earth Move Distance (EMD) was used to evaluate the difference between the curvature features and the template contour,so as to realize the recognition of the specific area.

Key words: differential geometry, flexible printed circuit, image contour extraction, specific area recognition