Abstract
Partitioning is essential in the smart verification process when measurements are conducted using modern instruments, such as a CT scanner. Numerous partitioning methods are commonly designed for scenes rather than for geometrical products. This paper introduces a novel method to partition geometrical elements from the measured data of the workpiece containing geometrical deviation and refines the points attribution problem at part boundaries. Firstly, a partition algorithm based on the coarse boundaries is presented. Then, a boundary refinement process is proposed to improve the partition result. A measured data set is taken as an example to verify the feasibility of the proposed method.
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