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

机译:牙膏模型的3D图像中的可靠牙弓检测和牙齿分割

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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:我们提出了一种自动方法,用于确定牙弓的形状,检测牙齿之间的间隙以及在牙膏模型的3D图像中分割后牙。牙弓形状是通过稳健的两步曲线拟合方法获得的,该方法不仅可以处理牙齿排列正确而且牙齿排列不正确的牙齿模型。通过搜索沿牙弓形的凹陷来检测牙齿之间的间隙。我们采用了一个FIR带通滤波器来促进谷值检测。平面图和前视范围图像用于检测牙齿间隙。使用梯度向量的内积通过描边对后牙进行分割。

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