Effects of Filtering Factors of Scan Data on GD&T Analysis With Metrology Software

Abstract

Laser scanning instruments are increasingly used in quality inspection of industrial parts. Their main advantage is the highspeed acquisition of large point clouds, providing considerable increases in inspection efficiency. As laser scanners are gaining widespread adoption, the use of different filtering techniques on scanned point clouds are also becoming progressively challenging, as filtering has an important effect on the evaluation of dimensions and tolerances. The standards for evaluating geometric dimensions and tolerances1,2 therefore, guidelines for the dimensional interpretation of laser scanner results are lacking. The filtering and outlier formation in scanned point clouds have been addressed in recent publications. Wang3 developed an outlier formation model for mixed and multipath reflections. An outlier detection method based on majority voting was also investigated.4 Weyrich proposed different outlier filtering techniques, based on different criteria, such as plane-fit or mini-ball.5 The influence of different scanning factors on the quality of inspection was also studied.