Adaptive Kalman filtering approach of color noise in cephalometric image

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