Abstract
The paper provides some experimental results on medical images enhancement, namely digital dental radiographic images of entire dentition — pantomograms. This problem is a first step in the process of automatic identification of persons basing on the mentioned kind of images. The most crucial task is the emphasizing of some characteristics, e.g. shapes of the teeth and dental fillings. These features are widely used as an input for the methods of automatic dental identification. In the paper the Laplacian pyramid-based image enhancement approach is utilized. This method has been successfully used for other radiographic images — mammograms and computed tomograms (CTs). Exemplary methods of uniform and non-uniform Laplacian pyramid enhancement are presented along with their influence on a typical image.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lehmann, T.M., Troeltsch, E., Spitzer, K.: Image processing and enhancement provided by commercial dental software programs. Dentomaxillofacial Radiology 31, 264–272 (2002)
Lu, J., Healy Jr., D.M.: Contrast enhancement of medical images using multiscale edge representation. In: Proc. of SPIE: Wavelet applications, Orlando, FL (1994)
Dippel, S., Stahl, M., Wiemker, R., Blaffert, T.: Multiscale Contrast Ehnahncement for Radiographies: Laplacian Pyramid Versus Fast Wavelet Transform. IEEE Trans. on Medical Imaging 21(4), 343–353 (2002)
Jain, A.K., Chen, H.: Automatic Forensic Dental Identification. In: Jain, A.K., Flynn, P., Ross, A.A. (eds.) Handbook of Biometrics, pp. 231–251 (2008)
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)
Burt, P.J., Adelson, E.H.: The Laplacian pyramid as a compact image code. IEEE Trans. on Communications 31(4), 532–540 (1983)
Vuylsteke, P., Schoeters, E.: Image Processing in Computed Radiography. In: Proc. of International Symposium on Computerized Tomography for Industrial Applications and Image Processing in Radiology, Berlin, Germany (1999)
Stahl, M., Aach, T., Buzug, T.M., Dippel, S., Neitzel, U.: Noise-resistant weak-structure enhancement for digital radiography. In: SPIE 1999, vol. 3661, pp. 1406–1417 (1999)
Vuylsteke, P., Schoeters, E.P.: Multiscale image contrast amplification (MUSICA). In: SPIE 1994, vol. 2167, pp. 551–560 (1994)
Chang, D.-C., Wu, W.-R.: Image contrast enhancement based on a histogram transformation of local standard deviation. IEEE Trans. on Medical Imaging 17(4), 518–531 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Frejlichowski, D., Wanat, R. (2010). Application of the Laplacian Pyramid Decomposition to the Enhancement of Digital Dental Radiographic Images for the Automatic Person Identification. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13775-4_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-13775-4_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13774-7
Online ISBN: 978-3-642-13775-4
eBook Packages: Computer ScienceComputer Science (R0)