Extracting the stripe center during the measurement process can significantly improve the measurement accuracy, and the optical stripe center extraction algorithm is an important factor determining the accuracy of the optical stripe contour location and extraction speed. For the traditional optical stripe center extraction method, because the ambient light conditions will affect the stripe center extraction under certain circumstances, the stripe center extraction often cannot accurately obtain the centerline, and to a certain extent, the extraction time of each algorithm is increased. In this paper, a line laser stripe center extraction method based on channel separation is proposed. The measured area is separated from the background area by the image segmentation algorithm, the Hessian matrix is obtained for each part of the measured area, and its normal direction is determined to obtain the sub-pixel stripe center, which can effectively avoid the problems of high light and certain brightness of the object, improve stripe center extraction speed and reduce stripe center noise.
Structural light measurement as a non-contact measurement method is commonly used in 3D shape detection, which can quickly acquire large-scale points cloud data of 3D surface with high precision. In the development of triangulation structural light sensors, the extraction of the light stripe centerline is the most important research point. Aiming at the problems of large error, high computational complexity and low data processing efficiency in the traditional maximum value based centerline extraction methods, a novel centerline extraction method based on actual light intensity distribution is proposed. Compared with the center line extraction method based on normal direction of light stripe, the discussed method is more suitable to describe the spatial characteristics of light stripe energy structure. It can greatly reduce the amount of calculation, improve processing speed and accuracy. The effectiveness of the proposed method is verified by a practical case of structural light sensor development.
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