Skip to main content
Log in

Registration of CAD mesh models with CT volumetric model of assembly of machine parts

  • Original Article
  • Published:
The Visual Computer Aims and scope Submit manuscript

Abstract

X-ray CT (computed tomography) has experienced tremendous growth in industrial application in recent years, and acquiring information about the mechanical parts from CT data has been a great challenge for researchers. This paper presents a new method for the registration of a CT volumetric model of an assembly of parts with a CAD mesh model of a part of the assembly using ICP (iterative closest point) registration method. A few steps to extract feature points should be done as a preprocessing step of the volumetric model and the mesh model before applying the ICP registration algorithm, since the volumetric model and the mesh model are different in their data representation. This preprocessing step is important in order to unify the input of the ICP algorithm, and contributes to the robustness and the speed of the registration process.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Besl, P., McKay, N.: A method for registration of 3-d shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14, 238–256 (1992)

    Article  Google Scholar 

  2. Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8, 679–698 (1986)

    Article  Google Scholar 

  3. Chen, Y., Medioni, G.: Object modeling by registration of multiple range images. Image Vis. Comput. 10, 145–155 (1992)

    Article  Google Scholar 

  4. Cignoni, P., Montani, C., Scopigno, R.: A comparison of mesh simplification algorithms. Comput. Graph. 22(1), 167–174 (1998)

    Article  Google Scholar 

  5. Davis, L.S.: A survey of edge detection techniques. Comput. Vis. Image Process. 4, 248–270 (1975)

    Google Scholar 

  6. Harris, C., Stephens, M.J.: A combined corner and edge detector. In: 4th Alvey Vision Conference, Manchester, UK, pp. 147–152 (1988)

  7. Goshtasby, A.A.: 2-D and 3-D Image Registration for Medical, Remote Sensing, and Industrial Applications. Wiley Interscience, Hoboken, NJ (2005)

    Google Scholar 

  8. Lyvers, E.P., Mitchell, O.R.: Precision edge contrast and orientation estimation. IEEE Trans. Pattern Anal. Mach. Intell. 10(6), 927–937 (1988)

    Article  Google Scholar 

  9. Marr, D., Hildreth, E.: Theory of edge detection. Proc. R. Soc. Lond. Ser. B 207, 187–217 (1980)

    Google Scholar 

  10. Modersitzki, J.: Numerical Methods for Image Registration. Oxford University Press, Oxford (2004)

    MATH  Google Scholar 

  11. Moravec, H.: Obstacle avoidance and navigation in the real world by seeing robot rover. Tech Report CMU-RI-TR-3 Carnegie-Mellon University, Robotics Institute (1980)

  12. Prewitt, J.M.S.: Object enhancement and extraction. In: Lipkin, B.S. et al. (eds.) Picture Processing and Psychopictorics. Academic, New York (1970)

  13. Rohr, K.: Localization properties of direct corner detectors. J. Math. Imaging Vis. 4, 139–150 (1994)

    Article  MathSciNet  Google Scholar 

  14. Rossel, C., Kobbelt, L.: HP Seidel extraction of feature lines on triangulated surfaces using morphological operators. In: Smart Graphics, Proceedings of the 2000 AAAI Symposium, pp. 71–75. AAAI Press (2000)

  15. Smith, S.M., Brady, J.M.: SUSAN – a new approach to low level image processing. Int. J. Comput. Vis. 23, 45–78 (1997)

    Article  Google Scholar 

  16. Trajkovic, M., Hedley, M.: Fast corner detection. Image Vis. Comput. 16, 75–87 (1998)

    Article  Google Scholar 

  17. Zheng, Z., Wang, H., Teoh, E.K.: Analysis of gray level corner detection. Pattern Recogn. Lett. 20, 149–162 (1999)

    Article  MATH  Google Scholar 

  18. Ziou, D., Tabbone, S.: Edge detection techniques – an overview. Int. J. Pattern Recogn. Image Anal. 8, 537–559 (1998)

    Google Scholar 

  19. Zitova, B., Flusser, J.: Image registration methods: a survey. Image Vis. Comput. 21, 977–1000 (2003)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Haitham Shammaa.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Shammaa, M., Suzuki, H. & Michikawa, T. Registration of CAD mesh models with CT volumetric model of assembly of machine parts. Visual Comput 23, 965–974 (2007). https://doi.org/10.1007/s00371-007-0171-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00371-007-0171-2

Keywords

Navigation