摘要
本文针对自动X线头影测量系统中X线片的处理问题,提出了一种空间非均匀图像噪声去除的卡尔曼滤波方法.该方法将图像的边缘信息加入了滤波器输入,在进行滤波的同时可以有效地保持图像的边缘,并且可以避免由于图像模型参数的辨识而引起的计算上的负担.
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 in this paper. 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.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1996年第2期130-137,共8页
Pattern Recognition and Artificial Intelligence
