Research on spatial non-homogenous Kalman filter and its application in cephalometric image

Sun Xinding, Wang Yan, Xu Zhenming, X. Changsheng
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引用次数: 1

Abstract

In the view of problems by processing the lateral cephalometric films in the automatic cephalometric analysis system, a noise-removing Kalman filter in spatial non-homogeneous images is proposed. The noise is effectively reduced and the edges in the image are preserved by adding information about the edges to the input of the filter. This approach can avoid the computational burden caused by the model parameter identification.
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空间非齐次卡尔曼滤波及其在头颅测量图像中的应用研究
针对自动头视分析系统在处理侧位头视片时存在的问题,提出了一种空间非均匀图像的去噪卡尔曼滤波方法。通过在滤波器的输入中加入边缘信息,有效地降低了噪声,并保留了图像中的边缘。该方法可以避免模型参数辨识带来的计算量负担。
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