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Comparison of the Effects of Different Preprocessing Methods on Homogeneity Assessment of Digital Intraoral Radiographs of Root Canal Fillings

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Progress in Image Processing, Pattern Recognition and Communication Systems (CORES 2021, IP&C 2021, ACS 2021)

Abstract

Root canal treatment is a very common method in the treatment of pulpitis, however, filled root canals do not last forever, which means a tooth on which this has been performed will eventually have to be extracted. Therefore, the homogeneity of a filling is very important because the better it is, the longer the tooth will survive; however, there is no universal method of assessing the homogeneity of a filling. In this paper, the use of textural parameters for qualitative assessment of root canal fillings is proposed; these include the homogeneity of the gray levels in an image or long-run emphasis. The use of different preprocessing methods can be helpful to obtain even better results. Three different methods of preprocessing are tested: histogram equalisation, CLAHE and CLAHE + histogram equalisation.

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Acknowledgement

This work was financed by the AGH – University of Science and Technology, Faculty of EAIIB, KBIB no 16.16.120.773.

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Correspondence to Adam Piórkowski .

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Łebska, J., Obuchowicz, B., Obuchowicz, R., Piórkowski, A. (2022). Comparison of the Effects of Different Preprocessing Methods on Homogeneity Assessment of Digital Intraoral Radiographs of Root Canal Fillings. In: Choraś, M., Choraś, R.S., Kurzyński, M., Trajdos, P., Pejaś, J., Hyla, T. (eds) Progress in Image Processing, Pattern Recognition and Communication Systems. CORES IP&C ACS 2021 2021 2021. Lecture Notes in Networks and Systems, vol 255. Springer, Cham. https://doi.org/10.1007/978-3-030-81523-3_14

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