Localization and measurement method of continuous casting slab model based on binocular vision

Abstract

AbstractAs the corner points of continuous casting slab model are not obvious, the traditional feature points detection methods cannot detect the effective feature points, so these methods cannot complete the localization and measurement of continuous casting slab model. A binocular vision localization and measurement method based on edges fitting was proposed. The acquired photos of continuous casting slab model were preprocessed including de‐distortion and stereo correction. And then the Canny operator and Zernike moment were used to detect the subpixel points of the model edges. These subpixel points that have been obtained were clustered and fitted, and the intersection points of fitting curves were calculated. Finally, using the fundamental matrix to match the intersection points, and the parallax information was obtained to locate the slab model. The experiment shows that the average measurement error of model is 1.31%, which can meet the precision requirements of production.