Research on 3D reconstruction technology of tool wear area

被引:0
作者
Xiao M. [1 ]
Sun Z. [1 ]
Shen X. [1 ]
Shi L. [1 ]
Zhang J. [1 ]
机构
[1] College of Engineering, Nanjing Agricultural University, No.40, Dianjiangtai Road, Pukou Distinct, Nanjing
来源
Manufacturing Technology | 2019年 / 19卷 / 02期
关键词
Double threshold; Focusing synthesis techniques; Three-dimensional reconstruction; Tool wear;
D O I
10.21062/ujep/294.2019/a/1213-2489/mt/19/2/345
中图分类号
学科分类号
摘要
The operators' poor adaptability on photos and difficulties of removing background point and noise point and other problems make the conventional focusing synthesis techniques difficult to get better application and promotion in the field of three-dimensional reconstruction. In this paper, a modified Laplacian operator was used as an evaluation basis to select focus points and the theory of three-dimensional reconstruction was discussed from the perspectives of image multilayer composite algorithm and height interpolation. To solve the problem of removing noise point and background point, a double threshold selection technique was proposed, which greatly improved the adaptability of focusing evaluation operator. Finally, a test on three-dimensional reconstruction of the tool wear's surface topography was conducted. © 2019.
引用
收藏
页码:345 / 349
页数:4
相关论文
共 16 条
  • [1] Baksa T., Schomik V., Adamek P., Et al., Effects of Grinding Conditions and Strategy on the Quality of the Cutting Edge, In: Manufacturing Technology, 18, pp. 3-7, (2018)
  • [2] Dutta S., Pal S.K., Mukhopadhyay S., Et al., Application of digital image processing in tool condition monitoring: A review, In: Journal of Manufacturing Science & Technology, 6, 3, pp. 212-232, (2013)
  • [3] Kucharikova L., Tillova E., Belan J., Et al., The Porosity Evaluation with Using Image Analyser Software in Aluminium Cast Alloys, In: Manufacturing Technology, 16, pp. 989-994, (2016)
  • [4] Naprstkova N., Sramhauser K., Cais J., Et al., Using of Electron Microscope to Evaluate the Tool Wear for a Selected Cutting Insert, In: Manufacturing Technology, 18, pp. 635-640, (2018)
  • [5] Shahabi H.H., Ratnam M.M., Incycle monitoring of tool nose wear and surface roughness of turned parts using machine vision, International Journal of Advanced Manufacturing Technology, 11-12, pp. 1148-1157, (2009)
  • [6] Dutta S., Pal S.K., Sen R., Progressive tool flank wear monitoring by applying discrete wavelet transform on turned surface images, Measurement, 77, pp. 388-401, (2016)
  • [7] Zhiguo J., Dongbing H., Fengying X., Chinese stereology and image analysis, Chinese Journal of Stereology and Image Analysis, 9, pp. 31-36, (2004)
  • [8] Martisek D., Fast Shape-From-Focus method for 3D object reconstruction, In: Optik-International Journal for Light and Electron Optics, 169, pp. 16-26, (2018)
  • [9] Usman F.J.I., Et al., Iris localization based on the Hough transform, a radial-gradientoperator, and the graylevel intensity, In: Optik-International Journal for Light and Electron Optics, 124, pp. 5976-5985, (2013)
  • [10] Zhao H., Li Q., Feng H.J., Multi-focus color image fusion in the HSI space using the sum-modified-laplacian and a coarse edge map, In: Image and Vision Computing, 26, pp. 1285-1295, (2018)