Fast and Accurate Segmentation of Dental X-Ray Records

  • Xin Li
  • Ayman Abaza
  • Diaa Eldin Nassar
  • Hany Ammar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)


Identification of deceased individuals based on dental characteristics is receiving increased attention. Dental radiographic films of an individual are usually composed into a digital image record. In order to achieve high level of automation in postmortem identification, it is necessary to decompose dental image records into their constituent radiographic films, which are in turn segmented to localize dental regions of interest. In this paper we offer an automatic hierarchical treatment to the problem of cropping dental image records into films. Our approach is heavily based on concepts of mathematical morphology and shape analysis. Among the many challenges we face are non-standard assortments of films into records, variability in record digitization as well as randomness of record background both in intensity and texture. We show by experimental evidence that our approach achieves high accuracy and timeliness.


Round Corner Accurate Segmentation Background Layer Dental Record Local Segmentation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    American Society of Forensic Odontology. Forensic Odontology News 16(2) (Summer 1997)Google Scholar
  2. 2.
    The Canadian Dental Association, Communique (May/June 1997)Google Scholar
  3. 3.
    CJIS Division - ADIS, Digitized Radiographic Images (Database) (August 2002)Google Scholar
  4. 4.
    Fahmy, G., Nassar, D., Haj-Said, E., Chen, H., Nomir, O., Zhou, J., Howell, R., Ammar, H.H., Abdel-Mottaleb, M., Jain, A.K.: Towards an automated dental identification system (ADIS). In: Proc. ICBA (International Conference on Biometric Authentication), Hong Kong, July 2004, pp. 789–796 (2004)Google Scholar
  5. 5.
    Jain, A.K., Chen, H.: Matching of Dental X-ray Images for Human Identification. Pattern Recognition 37(7), 1519–1532 (2004)CrossRefGoogle Scholar
  6. 6.
    Haj-Said, E., et al.: Dental X-ray Image Segmentation. In: Proc. SPIE Biometric Technology for Human Ident, vol. 5404, pp. 409–417 (2004)Google Scholar
  7. 7.
    White, S., Pharoah, M.: Oral Radiology Principles and Interpretation, 4th edn., Mosby, Inc. (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Xin Li
    • 1
  • Ayman Abaza
    • 1
  • Diaa Eldin Nassar
    • 1
  • Hany Ammar
    • 1
  1. 1.Lane Dept. of Computer Science and Electrical EngineeringWest Virginia UniversityMorgantown

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