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作者:

Wu, L. (Wu, L..) | Gao, Y. (Gao, Y..) | Guo, X. (Guo, X..) (学者:郭霞) | Zhao, L. (Zhao, L..) | Zhang, Z. (Zhang, Z..)

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摘要:

The general sampling inspection solution is not suitable for 3D printing products because of the personality of such products. In this paper, a framework for 3D printed maxillofacial tumor treatment guide inspection was proposed to achieve a more accurate detection, which includes mechanic system, control part and video surveillance part. The proposed method was used to inspect the location and direction of the hole under three parts. First, the 3D model and the printed product were aligned in the unified coordinates. Then, the product was moved to the suitable view based on the location and direction of the hole on the 3D model so that the hole would be in the center of the image. Finally, the hole was detected and shape parameters such as circularity, aspect ratio, diameter and the distance between the neighboring holes were extracted. Based on these parameters, we can decide if the hole is qualified. The experiments demonstrate that the proposed method raises the inspection precision and speed, in comparison to manual inspection. Furthermore, the proposed framework can be extended to shape consistency inspection of other 3D printing products. © 2017, Editorial Department of Journal of Beijing University of Technology. All right reserved.

关键词:

3D model guide; 3D printing; Computer vision; Image analysis; Product inspection

作者机构:

  • [ 1 ] [Wu, L.]Faculty of Information Technology Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Gao, Y.]Faculty of Information Technology Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Guo, X.]Faculty of Information Technology Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Zhao, L.]Faculty of Information Technology Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Zhang, Z.]Faculty of Information Technology Beijing University of Technology, Beijing, 100124, China

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来源 :

Journal of Beijing University of Technology

ISSN: 0254-0037

年份: 2017

期: 4

卷: 43

页码: 526-532

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