During the process of scanning the shape of a large object, multiple scans from different angles are required due to the influence of surface complexity and scanning field of view, and then these data are stitched together into a whole. This paper proposes a tracking-based optical measurement point cloud stitching method based on circular coded points. During the scanning of the object by the structured light scanner, the binocular tracking camera real-time locates and pastes the circular coded points on the scanner. Using this marker as an intermediary, the reconstructed 3D point cloud in the coordinate system of the structured light scanner is transformed to the reference coordinate system of the positioning and tracking binocular camera to achieve point cloud stitching and complete the reconstruction of the three-dimensional morphology information of the object being measured.
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.
As the main component of power generation, the wall thickness of aeroengine turbine blade affects the dynamic performance of the whole engine. The accurate measurement of wall thickness is very important in the production process of turbine blade. Based on the point cloud processing technology, aiming at the point cloud of blade tip groove obtained by optical focusing scanning, this paper simplifies and denoises the data through two steps of random sampling filtering and statistical filtering, fits the blade tip plane model, projects the point cloud onto the two-dimensional plane, extracts the boundary points of the plane point cloud by the concave envelope algorithm, selects the initial points and initial vectors, calculates the connecting distance of the boundary points, and completes the calculation of the wall thickness of the blade tip.
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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.