Research on adaptive Kalman filtering of cephalometric image

In the view of the drawbacks of the conventional Kalman filtering, a kind of adaptive Kalman filtering method of color noise based on the correlative method of the system output is proposed to solve the cephalometric images of stomatology. This method builds the Kalman filtering model of color noise by adopting the equivalent observable equation, in order to avoid complicated computation and the expansion of the filter dimension. Also, it is unnecessary to know the variance of measurement noise beforehand so that it is closer to actual situation. Results of several experiments are presented to demonstrate the feasibility and good performance of this method.