Abstract
In the detection of a large-size longitudinal beam workpiece, it is impossible to obtain the complete picture of the workpiece only by relying on a single camera, so it is necessary to realize the position movement of the camera with the help of a motor to obtain image data one by one, in which image stitching is the key to realize this technology. Based on this, this paper proposes an image stitching scheme based on the camera’s coordinate transformation and template matching. The scheme first uses a motor to drive three cameras to the image acquisition and then uses the coordinate transformation between cameras to obtain the stitched image of the area. After cameras are moved to the next image acquisition area, the image stitching algorithm based on template matching is used to complete the image stitching of the two areas. The above steps are repeated until the cameras complete the image acquisition task of all areas and the image stitching of the final workpiece is completed. Through the experimental verification, the proposed template matching scheme for the approximate overlapping areas between images can effectively improve the efficiency of image stitching, and the specific improvement effect in this experiment can reach 46.2%, and the overall image stitching scheme meets the requirements of detection efficiency.
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