Abstract
Dental Caries, also known as dental decay or tooth decay, is defined as a disease of the hard tissues of the teeth caused by the action of microorganisms found in plaque on fermentable carbohydrates (principally sugars). Therefore, the detection of dental caries in a preliminary stage is an important task. This chapter has two major purposes: firstly to announce the availability of a new data set of panoramic dental X-ray images. This data set contains 1,392 images with varying types of noise, usually inherent to this kind of images. Second, to present a complete case study for the detection of dental caries in panoramic dental X-ray images.
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References
Anton, H.A., Bivens, I., Davis, S.: Calculus, 7th edn. Wiley, New York, USA, ISBN 978-0471381570 (2001)
Chan, T.F., Vese, L.A.: Active contours without edges. IEEE Trans. Image Process. 10, 266–277 (2001)
Chen, H., Jain, A.K.: Matching of dental x-ray images for human identification. Pattern Recogn. 37, 1519–1532 (2004)
Chen, H., Jain, A.K.: Tooth contour extraction for matching dental radiographs. In proceedings of the 17th International Conference on Pattern Recognition (ICPR’04), vol. III, 522–525, Cambridge, United Kingdom (2004)
Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, 1st edn. Cambridge University Press (2002)
Davies, E.R.: Machine Vision: Theory, Algorithms, Practicalities, 3rd edn. Morgan Kaufmann, Publishers Inc, San Diego, USA, ISBN 978-0122060939 (2005)
Dyer, S.A., He, X.: Least-squares fitting of data by polynomials. IEEE Instru. Meas. Mag. 3, 46–51 (2001)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 3rd edn. Prentice-Hall (2008)
Jain, A., Hong, L., Pankanti, S.: Biometrics: promising frontiers for emerging identification market. Comm. ACM, 43, 91–98 (2000)
Jollie, I.T.: Principal component analysis, 2nd edn. Springer Series in Statistics, New York (2002)
Li, S., Fevens, T., Krzyzak, A., Li, S.: An automatic variational level set segmentation framework for computer aided dental x-rays analysis in clinical environments. Comput. Med. Imag. Graph. 30, 65–74 (2006)
Li, S., Fevens, T., Krzyak, A., Jin, C., Li, S.: Semi-automatic computer aided lesion detection in dental x-rays using variational level set. Pattern Recogn. 40, 2861–2873 (2007)
Meyer, D., Leisch, F., Hornik, K.: The support vector machine under test. IEEE Trans. Image Process. 55, 169–186 (2003)
Nixon, M.S., Aguado, A.S.: Feature Extraction and Image Processing, 1st edn. Newnes (2002)
Park, H., Schoepflin, Y., Kim, T.: Active contour model with gradient directional information: directional snake. IEEE Trans. Circ. Syst. Video Tech. 11, 252–256 (2001)
Said, E.H., Nassar, D.E.M., Fahmy, G., Ammar, H.H.: Teeth segmentation in digitized dental x-ray films using mathematical morphology. IEEE Trans. Inf. Foren. Sec. 1, 178–189 (2006)
Shapiro, L.G., Stockman, G.C.: Computer Vision, 1st edn. Prentice-Hall (2001)
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Oliveira, J., Proença, H. (2011). Caries Detection in Panoramic Dental X-ray Images. In: Tavares, J., Jorge, R. (eds) Computational Vision and Medical Image Processing. Computational Methods in Applied Sciences, vol 19. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0011-6_10
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