Skip to main content
SpringerLink
Log in

Dental X-Ray Image Segmentation and Object Detection Based on Phase Congruency

  • Conference paper
Image Analysis and Recognition (ICIAR 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7325))

Included in the following conference series:

Abstract

Dental radiographs are essential in oral diagnostic procedures. This paper presents a new method for segmentation and object detection of dental radiograph images based on phase congruency. This phase congruency based approach provides local image structure and is invariant to image scaling, rotation, translation, variable lightning conditions, as well as process noise. Comparative experimental results and quantitative measures show the effectiveness of the proposed approach.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Haring, J.I., Jansen, L.: Dental radiography - principles and techniques, 2nd edn. W.B. Saunders Company (2000)

    Google Scholar 

  2. Nomir, O., Abdel-Mottaleb, M.: A system for human identification from X-ray dental radiographs. Pattern Recognition 38, 1295–1305 (2005)

    Article  Google Scholar 

  3. Oprea, S., Marinescu, C., Lita, I., Jurianu, M., Visan, D.A., Cioc, I.B.: Image processing techniques used for dental x-ray image analysis. In: Proc. of IEEE International Conference on Non-destructive Testing, Picture Acquisition Methods, pp. 125–129

    Google Scholar 

  4. Razmus, T.F., Williamson, G.F.: Current oral and maxillofacial imaging, 1st edn. W.B. Saunders Company (1996)

    Google Scholar 

  5. Nomir, O., Abdel-Mottaleb, M.: Hierarchical contour matching for dental X-ray radiographs. Pattern Recognition 41, 130–138 (2008)

    Article  MATH  Google Scholar 

  6. Pal, N.R., Pal, S.K.: A review on image segmentation techniques. Pattern Recognition 26(9), 1277–1294 (1993)

    Article  Google Scholar 

  7. Oppenheim, A., Lim, J.: The importance of phase in signals. Proceedings of the IEEE 69, 529–541 (1981)

    Article  Google Scholar 

  8. Field, D.J.: Relations between the statistics of natural images and the response properties of cortical cells. Journal of the Optical Society of America A 4, 2379–2394 (1987)

    Article  Google Scholar 

  9. Kovesi, P. D.: MATLAB functions for computer vision and image analysis. School of Computer Science & Software Engineering, The University of Western Australia, http://www.csse.uwa.edu.au/~pk/research/matlabfns/

  10. Rodriguez-Sanchez, R., Garcia, J.A., Fdez-Valdivia, J., Fdez-Vidal, R.X.: How to define the notion of microcalcilcifications in digitized mammograms. In: International Conference on Pattern Recognition (ICPR 2000), vol. 1, pp. 494–499 (2000)

    Google Scholar 

  11. Mancas-Thillou, C., Gosselin, B.: Character segmentation-by-recognition using log-gabor filters. In: Proc. of IAPR International Conference on Pattern Recognition (ICPR 2006), Hong Kong, China (2006)

    Google Scholar 

  12. Lindeberg, T.: Scale-Space Theory in Computer Vision. Kluwer Academic Publishers (1994)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada

    F. Sattar & F. O. Karray

Authors
  1. F. Sattar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. F. O. Karray
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Faculty of Engineering, Institute of Biomedical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

  2. Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, ON, Canada

    Mohamed Kamel

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sattar, F., Karray, F.O. (2012). Dental X-Ray Image Segmentation and Object Detection Based on Phase Congruency. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2012. Lecture Notes in Computer Science, vol 7325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31298-4_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31298-4_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31297-7

  • Online ISBN: 978-3-642-31298-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation