Manufacturing Technology 2019, 19(2):345-349 | DOI: 10.21062/ujep/294.2019/a/1213-2489/MT/19/2/345

Research on 3D Reconstruction Technology of Tool Wear Area

Maohua Xiao, Zhenmin Sun, Xiaojie Shen, Liping Shi, Jing Zhang
College of Engineering, Nanjing Agricultural University, No.40, Dianjiangtai Road, Pukou Distinct, Nanjing210031. China

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.

Keywords: Tool wear, Three-dimensional reconstruction, Focusing synthesis techniques, Double threshold
Grants and funding:

Fundamental Research Funds for the Central Universities fund (KYZ201760).
Jiangsu Provincial Key Laboratory of Advanced Manufacturing Technology(HGAMTL-1711).

Published: April 1, 2019  Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Xiao M, Sun Z, Shen X, Shi L, Zhang J. Research on 3D Reconstruction Technology of Tool Wear Area. Manufacturing Technology. 2019;19(2):345-349. doi: 10.21062/ujep/294.2019/a/1213-2489/MT/19/2/345.
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. Tomas Baksa, Vaclav Schomik, Pavel Adamek, et al(2018). Effects of Grinding Conditions and Strategy on the Quality of the Cutting Edge. In: Manufacturing Technology, Vol. 18, pp. 3-7. Czech Republic. Go to original source...
    2. DUTTA, S., PAL, S. K., MUKHOPADHYAY, S., et al (2013). Application of digital image processing in tool condition monitoring: A review. In: Journal of Manufacturing Science & Technology, Vol. 6(3), pp. 212-232. CIRP. Go to original source...
    3. KUCHARIKOVÁ, L., TILLOVÁ, E., BELAN, J., et al. (2016). The Porosity Evaluation with Using Image Analyser Software in Aluminium Cast Alloys. In: Manufacturing Technology, Vol. 16, pp. 989-994. Czech Republic. Go to original source...
    4. NÁPRSTKOVÁ, N., ©RAMHAUSER, K., CAIS, J., et al. (2018). Using of Electron Microscope to Evaluate the Tool Wear for a Selected Cutting Insert. In: Manufacturing Technology, Vol. 18, pp. 635-640. Czech Republic. Go to original source...
    5. SHAHABI, H. H., RATNAM, M. M. (2009). In-cycle monitoring of tool nose wear and surface roughness of turned parts using machine vision. In: International Journal of Advanced Manufacturing Technology, Issue 11-12, pp. 1148-1157. Springer. Germany. Go to original source...
    6. DUTTA, S., PAL, S. K., SEN, R. (2016). Progressive tool flank wear monitoring by applying discrete wavelet transform on turned surface images, In: Measurement, Vol. 77, pp. 388-401. Elsevier. Netherlands. Go to original source...
    7. JIANG ZHIGUO, HAN DONGBING, XIE FENGYING, etc (2004). Chinese stereology and image analysis, In: Chinese Journal of Stereology and Image Analysis, Vol. 9, pp. 31-36. China.
    8. MARTI©EK, D. (2018). Fast Shape-From-Focus method for 3D object reconstruction. In: Optik-International Journal for Light and Electron Optics, Vol. 169, pp. 16-26. Elsevier. Netherlands.
    9. FARMANULLAH JANA, IMRAN USMAN, et al (2013). Iris localization based on the Hough transform, a radial-gradient operator, and the gray-level intensity. In: Optik-International Journal for Light and Electron Optics, Vol. 124, pp. 5976-5985. Elsevier. Netherlands.
    10. ZHAO, H., LI, Q., FENG, H. J. (2018). Multi-focus color image fusion in the HSI space using the sum-modified-laplacian and a coarse edge map. In: Image and Vision Computing, Vol. 26, pp. 1285-1295. Elsevier. Netherlands. Go to original source...
    11. ZUO, C., LIU, Y., LI, H., et al (2013). Radial stereo imaging system for three-dimensional reconstruction. In: International Journal for Light and Electron Optics, Vol. 124(24), pp. 6700-6706. Optik. Elsevier. Netherlands. Go to original source...
    12. QIU XIAOHUA, LI MIN, ZHANG LIQIONG, YUAN XIANJIE (2019). Guided filter-based multi-focus image fusion through focus region detection. In: Signal Processing: Image Communication, Vol. 72, pp. 35-46. Elsevier. Netherlands. Go to original source...
    13. JIANG, Z. G., SHI, W. H., HAN, D. B., et al (2004). Three-Dimensional Microscopy Image System Based on Depth from Focus. In: Computerized Tomography Theory & Applications, Vol. 13(4), pp. 9-15.
    14. YAN Q, WENQING Y, XIANGZE L, et al(2014). Variety identification of rice seed based on three-dimensional reconstruction method of sequence images. In: Transactions of the Chinese Society of Agricultural Engineering, Vol. 30(7), pp. 190-196. China.
    15. SU NA, FANG JINGLONG (2018). Software Defects Detection Based on Multivariate Guassian Distribution Probability Model. In: Journal of Hangzhou Dianzi University (Natural Sciences), Vol. 38 (5). pp. 34-38. China.
    16. LI JIAFU, TANG WENYAN, WANG JUN, ZHANG XIAOLIN (2018). Multilevel thresholding selecting based on variational mode decomposition for image segmentation. In: Signal Processing, Vol. 147, pp. 80-91. Elsevier. Netherlands. Go to original source...

    This is an open access article distributed under the terms of the Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content