Abstract
Dental filling is very important material used to fill the cavity in the tooth, formed after the treatment of caries or as a result of mechanical or other damage to the tooth in stomatology. In this article we show that dental filling can be detected using pixels colors of tooth image to evaluate the size and filling gap. We present an algorithm, which analyzes the size of dental filling and gap of filling. Presented research results show that the developed method can find differences between various types of teeth. Also we use Student t-test for dependent variables, which helps to decide whether there is a difference between different types of teeth.
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Authors acknowledge contribution to this project of the Silesian University of Technology and Silesian Medical University.
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Osadcha, O., Trzcionka, A., Pachońska, K., Pachoński, M. (2018). Detection of Dental Filling Using Pixels Color Recognition. In: Damaševičius, R., Vasiljevienė, G. (eds) Information and Software Technologies. ICIST 2018. Communications in Computer and Information Science, vol 920. Springer, Cham. https://doi.org/10.1007/978-3-319-99972-2_28
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DOI: https://doi.org/10.1007/978-3-319-99972-2_28
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