26 June 2017 Accurate characterisation of hole geometries by fringe projection profilometry
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Abstract
Accurate localisation and characterisation of holes is often required in the field of automated assembly and quality control. Compared to time consuming coordinate measuring machines (CMM), fringe-projection-based 3D scanners offer an attractive alternative as a fast, non-contact measurement technique that provides a dense 3D point cloud of a large sample in a few seconds. However, as we show in this paper, measurement artifacts occur at such hole edges, which can introduce errors in the estimated hole diameter by well over 0.25 mm, even though the estimated hole centre locations are largely unaffected. A compensation technique to suppress these measurement artifacts has been developed, by modelling the artifact using data extrapolated from neighboring pixels. By further incorporating a sub-pixel edge detection technique, we have been able to reduce the root mean square (RMS) diameter errors by up to 9.3 times using the proposed combined method.
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Yuxiang Wu, Yuxiang Wu, Harshana G. Dantanarayana, Harshana G. Dantanarayana, Huimin Yue, Huimin Yue, Jonathan M. Huntley, Jonathan M. Huntley, } "Accurate characterisation of hole geometries by fringe projection profilometry", Proc. SPIE 10332, Videometrics, Range Imaging, and Applications XIV, 1033204 (26 June 2017); doi: 10.1117/12.2270210; https://doi.org/10.1117/12.2270210
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