Research on measurement regions for Articulated Arm Coordinate Measuring Machines based on DBSCAN

The measurement accuracy of the articulated coordinate measuring machine (AACMM) is different in different sub measurement regions. In order to improve accuracy, The method for dividing and merging of sub measurement region based on Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is presented. The whole measurement regions were divided into some sub regions which had equal volume. Sample data which had contiguous measurement error and contiguous position had been clustered by DBSCAN. The high and low precision regions were merged into many sub regions based on the result of cluster. The experiment showed that the measurement accuracy was greatly influenced by the measurement regions, and precision could be improved by measuring in high precision regions.