Quick image stitching algorithm based on template matching for Mask defect detection

Abstract

With the computer technology and image processing technology gradually applied to the mask detection system, computer vision detection method has become the mainstream way of automatic mask inspection. Masking is usually a large area, and in order to ensure detection accuracy, the camera's field of view is small, and the panorama stitching of mask images has become an essential image processing link in defect detection. In the mask image acquisition system, the precision workbench is in the working mode of horizontal vertical translation, and the adjacent two images have horizontal and vertical offsets. In view of the characteristics of big data volume of mask image, cell repetition, small variation of rotation scale, this paper proposes a fast multi-mask image stitching algorithm based on template matching. The template matching algorithm is optimized, compared with the traditional image stitching algorithm, which greatly improves the stitching speed, avoids the problem of feature matching repeated graphics mismatch, and the stitching effect is good.