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Based on the requirements of conformity detection, quality monitoring, and preservation of various parts and workpieces, a surface defect detection method based on point cloud Euclidean distance is proposed, which firstly sets the type of defects and secondly compares the distance between two points with the set threshold value through the ICP point cloud alignment to discriminate defects on the parts, and finally displays the characteristics of the defects such as their sizes, shapes, and specific locations, to realize the extraction and classification of blemishes. Finally, the defects’ size, shape, and location are displayed, thus learning the extraction and classification of defects.

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Detection Method of Surface Defects on Parts Based on Point Cloud Euclidean Distance

  • 会议论文

  • 发表日期：

    2025年

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  • Chunhan Liu,
  • Pengfei Zeng,
  • Yongping Hao

摘要

Based on the requirements of conformity detection, quality monitoring, and preservation of various parts and workpieces, a surface defect detection method based on point cloud Euclidean distance is proposed, which firstly sets the type of defects and secondly compares the distance between two points with the set threshold value through the ICP point cloud alignment to discriminate defects on the parts, and finally displays the characteristics of the defects such as their sizes, shapes, and specific locations, to realize the extraction and classification of blemishes. Finally, the defects’ size, shape, and location are displayed, thus learning the extraction and classification of defects.