Countersink quality detection using point cloud is an effective way to detect defect of countersink with high precision of point cloud. This paper proposes an algorithm for segmenting surface of countersink using point cloud. For features of countersink and requirement for Countersink quality detection, this algorithm based on normal vector estimation and smoothing operator. Experimental results demonstrate that the proposed algorithm can be considered as an accuracy, precision, and real-time approach for point cloud segmentation with inevitable disturbances in terms of the segmentation quality and CPU time.
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