Abstract
In this work, a multiple generalized anisotropic Hough transform (AGHT) is used to detect the mandibular canal in dental panoramic radiographs. The proposed method relies on a sequential application of the Hough transform that we call double Hough transform. The recognition of the mandibular canal is based on a double template matching compared with the clinical detection using the fact that the shape of the mandibular canal is usually the same and it is situated inside the mandibular bone. The experiments performed on real orthopantomographic images shown that the risk of false detection is significantly decreased, while the recognition is not affected by occlusion and by the presence of additional structures, e.g., teeth, projection errors.
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Acknowledgements
The first two co-authors gratefully acknowledge the support of the Austrian Science Fund (FWF): project number P27516.
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Onchis-Moaca, D., Zappalá , S., Goţia, S.L., Real, P. (2017). Double Hough Transform for Estimating the Position of the Mandibular Canal in Dental Radiographs. In: Kotsireas, I., Martínez-Moro, E. (eds) Applications of Computer Algebra. ACA 2015. Springer Proceedings in Mathematics & Statistics, vol 198. Springer, Cham. https://doi.org/10.1007/978-3-319-56932-1_22
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DOI: https://doi.org/10.1007/978-3-319-56932-1_22
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