Abstract
In the present paper an algorithm for the detection of voids of dental root canal obturation in microCT images of the root is described. The algorithm consists of segmentation of the filling material, based on histogram analysis, detection of the voids surrounded by the filling material, detection of voids at the interface of dentine and root canal filling and final processing. The segmentation requires selecting two threshold levels and involves histogram thresholding followed by region growing. To detect the voids at the interface of the filling material a variant of a hit-or-miss filter is proposed. The performance of the algorithm is tested, based on a set of microCT images.
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© 2012 Springer-Verlag Berlin Heidelberg
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Petryniak, R., Tabor, Z., Kierklo, A., Jaworska, M. (2012). Detection of Voids of Dental Root Canal Obturation Using Micro-CT. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2012. Lecture Notes in Computer Science, vol 7594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33564-8_66
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DOI: https://doi.org/10.1007/978-3-642-33564-8_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33563-1
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