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Robust arch detection and tooth segmentation in 3D images of dental plaster models

机译:牙科膏药模型3D图像中的鲁棒拱检测和牙齿分割

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摘要

We present an automated method for determining the dental arch form, detecting the interstices between teeth, and segmenting the posterior teeth in 3D images of dental plaster models. The dental arch form is obtained by a robust two-step curve fitting method that can handle dental models with not only well-aligned but also malaligned teeth. The interstices between teeth are detected by searching for valleys along the dental arch form. We employ a FIR band-pass filter to facilitate the valley detection. Plan-view and front-view range images are utilized for the detection of teeth interstices. The posterior teeth are segmented by tracing edges using the inner product of gradient vectors.
机译:我们提出了一种用于确定牙弓形式的自动化方法,检测牙齿之间的间隙,并在牙科膏药模型的3D图像中分割后牙。牙弓形式是通过坚固的两步曲线配件方法获得,可以处理牙科型号,不仅具有良好对齐但也是恶性牙齿。通过沿着牙齿拱形的山谷搜索牙齿来检测牙齿之间的空隙。我们采用FIR带通滤波器,以方便谷检测。平面图和前视范围图像用于检测牙齿间隙。后齿通过使用梯度向量的内部产物追踪边缘来分割。

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