Skip to main content

Computer-Aided Dental Caries Detection System from X-Ray Images

  • Conference paper
Computational Intelligence in Information Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 331))

Abstract

The early detection of disease is one of important matter of diagnostic imaging. In this paper we developed a system to analysis the dental x-ray images and diagnosis the tooth which has abnormalities of caries. Enhancement applied to improve the quality of x-ray images and Thresholding method performed to simplify the images. Segmentation has been done by applying the integral projection technique to extract the individual tooth and therefore feature map of tooth surface generated to analysis and detection process. Nevertheless, experiments show the accurate segmentation and caries detection with proposed method which achieves high accuracy and promising result.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Bankman, I.: Handbook of medical image processing and analysis. Academic Press (2008)

    Google Scholar 

  2. Carroll, S., Frojdh, C.: Dental x-ray imaging system. Google Patents (June 11, 2002)

    Google Scholar 

  3. Chan, R.H., Ho, C.-W., Nikolova, M.: Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization. IEEE Transactions on Image Processing 14(10), 1479–1485 (2005)

    Article  Google Scholar 

  4. Dougherty, G.: Digital Image Processing for Medical Applications. Cambridge University Press, Cambridge (2009)

    Google Scholar 

  5. Ikeguchi, E., Nagase, Y., Omura, I., Shibatani, K., Yamauchi, J.: Dental caries detection. Google Patents (August 31, 1982)

    Google Scholar 

  6. Jain, A.K., Chen, H.: Matching of dental X-ray images for human identification. Pattern Recognition 37(7), 1519–1532 (2004)

    Article  Google Scholar 

  7. Keshtkar, F., Gueaieb, W.: Segmentation of dental radiographs using a swarm intelligence approach. In: Canadian Conference on Electrical and Computer Engineering, CCECE 2006, pp. 328–331 (2006)

    Google Scholar 

  8. Kolivand, H., Shahrizal Sunar, M.: A Survey of Shadow Volume Algorithms in Computer Graphics. IETE Technical Review 30(1) (2013)

    Google Scholar 

  9. Kutsch, V.K.: Caries Detection, Inside Dentistry. AEGIS Communications (2011)

    Google Scholar 

  10. Molteni, R.: Direct digital dental x-ray imaging with Visualix/VIXA. Oral surgery, Oral Medicine, Oral Pathology 76(2), 235–243 (1993)

    Article  Google Scholar 

  11. Nomir, O., Abdel-Mottaleb, M.: Human identification from dental X-ray images based on the shape and appearance of the teeth. IEEE Transactions on Information Forensics and Security 2(2), 188–197 (2007)

    Article  Google Scholar 

  12. Norouzi, A., Rahim, M.S., Altameem, A., Saba, T., Rad, A.E., Rehman, A., et al.: Medical Image Segmentation Methods, Algorithms, and Applications. IETE Technical Review 31(3), 199–213 (2014)

    Google Scholar 

  13. Olsen, G.F., Brilliant, S.S., Primeaux, D., van Najarian, K.: An image-processing enabled dental caries detection system. In: ICME International Conference on Complex Medical Engineering, CME 2009, pp. 1–8 (2009)

    Google Scholar 

  14. Otsu, N.: A threshold selection method from gray-level histograms. Automatica 11(285-296), 23–27 (1975)

    Google Scholar 

  15. Rad, A., Mohd Rahim, M., Rehman, A., Altameem, A., Saba, T.: Evaluation of Current Dental Radiographs Segmentation Approaches in Computer-aided Applications. IETE Technical Review 30(3), 210 (2013)

    Article  Google Scholar 

  16. Rahim, M.S., Norouzi, A., Amin, I.B., Rad, A.E.: Current Methods in Medical Image Segmentation and Its Application on Knee Bone. Archives Des Sciences 65(9) (2012)

    Google Scholar 

  17. Roberson, T., Heymann, H.O., Swift Jr., E.J.: Sturdevant’s art and science of operative dentistry. Elsevier Health Sciences (2006)

    Google Scholar 

  18. Said, E.H., Nassar, D.E., Fahmy, G., Ammar, H.H.: Teeth segmentation in digitized dental X-ray films using mathematical morphology. IEEE Transactions on Information Forensics and Security 1(2), 178–189 (2006)

    Article  Google Scholar 

  19. Shuo, L., Fevens, T., Krzyzak, A., Jin, C., Li, S.: Semi-automatic computer aided lesion detection in dental X-rays using variational level set. Pattern Recognition 40(10), 2861–2873 (2007)

    Article  Google Scholar 

  20. Sonis, S.T.: Dental Secrets. Hanley & Belfus (2003)

    Google Scholar 

  21. Zhou, J., Abdel-Mottaleb, M.: A content-based system for human identification based on bitewing dental X-ray images. Pattern Recognition 38(11), 2132–2142 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Rad, A.E., Amin, I.B.M., Rahim, M.S.M., Kolivand, H. (2015). Computer-Aided Dental Caries Detection System from X-Ray Images. In: Phon-Amnuaisuk, S., Au, T. (eds) Computational Intelligence in Information Systems. Advances in Intelligent Systems and Computing, vol 331. Springer, Cham. https://doi.org/10.1007/978-3-319-13153-5_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-13153-5_23

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13152-8

  • Online ISBN: 978-3-319-13153-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics