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首页> 外文期刊>IEICE Transactions on fundamentals of electronics, communications & computer sciences >A Single Tooth Segmentation Using PCA-Stacked Gabor Filter and Active Contour
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A Single Tooth Segmentation Using PCA-Stacked Gabor Filter and Active Contour

机译:使用PCA堆叠Gabor滤波器和主动轮廓的单齿分割

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In tooth contour extraction there is insufficient intensity difference in x-ray images between the tooth and dental bone. This difference must be enhanced in order to improve the accuracy of tooth segmentation. This paper proposes a method to improve the intensity between the tooth and dental bone. This method consists of an estimation of tooth orientation (intensity projection, smoothing filter, and peak detection) and PCA-Stacked Gabor with ellipse Gabor banks. Tooth orientation estimation is performed to determine the angle of a single oriented tooth. PCA-Stacked Gabor with ellipse Gabor banks is then used, in particular to enhance the border between the tooth and dental bone. Finally, active contour extraction is performed in order to determine tooth contour. In the experiment, in comparison with the conventional active contour without edge (ACWE) method, the average mean square error (MSE) values of extracted tooth contour points are reduced from 26.93% and 16.02% to 19.07% and 13.42% for tooth x-ray type I and type H images, respectively.
机译:在牙齿轮廓提取中,牙齿和牙骨之间的X射线图像强度差异不足。为了提高牙齿分割的准确性,必须增强这种差异。本文提出了一种改善牙齿与牙骨之间强度的方法。此方法包括估计牙齿的方向(强度投影,平滑滤波器和峰值检测)和带有椭圆形Gabor排的PCA堆叠式Gabor。进行牙齿取向估计以确定单个取向的牙齿的角度。然后使用带有椭圆形Gabor排的PCA堆叠式Gabor,特别是增强牙齿和牙骨之间的边界。最后,执行主动轮廓提取以确定牙齿轮廓。在实验中,与传统的主动无边缘轮廓(ACWE)方法相比,提取的牙齿轮廓点的平均均方误差(MSE)值从x.-牙齿的26.93%和16.02%降低到19.07%和13.42%射线分别为I型和H型。

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