Abstract
In order to figure out the number of the tooth’s roots and subroots, only the bone, air and blood to be separated is enough. This paper proposed a new algorithm denoted Value Range Transform which inherits the idea of the Mojette transform to recover the value range of each pixel, instead of the exact value. According to the Hounsfield scale of the bone, air and blood, the value range of each pixel can easily tell the exact material of the pixel belong to. The Value Range Transform included the direct transform and the inverse transform. The value range projection data produced from the direct value range transform. From the value range projection data, the inverse transform can recover the three different materials of the scene. After examied by the experiments, the materials can be recovered from the projection data sets which Katz’s criterion are far to be checked.
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Liu, C., Yadav, A., Khan, A., Zou, J., Hu, W. (2020). Three-Materials Image Recover from Value Range Projection Data. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-16657-1_28
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