Adaptive Kalman Filtering Approach of Color Noise in Cephalometeric Image
摘要
A kind of adaptive color noise Kalman filtering approach based on the correlative method of the system output is proposed to solve the cephalometric images of stomatology. This approach builds the color noise Kalman filtering model by adopting the equivalent measurement equation in order to aviod complicated computation and expansion of the dimension of the filter. It is also unnecessary to know the variance of measurement noise beforehand so that it is closer to the actual situation. The results of several experiments are presented to demonstrate the feasibility and good performance of this approach.
引用本文（GB/T 7714）
徐常胜. Adaptive Kalman Filtering Approach of Color Noise in Cephalometeric Image[J]. 高技术通讯：英文版, 1997.
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