DocumentCode :
319493
Title :
Adaptive filtering approach of color noise and its application in cephalometeric image
Author :
Xu, Changsheng ; Ma, Songde
Author_Institution :
Nat. Lab. of Pattern Recognition, Acad. Sinica, Beijing, China
Volume :
1
fYear :
1997
fDate :
9-12 Sep 1997
Firstpage :
162
Abstract :
In the view of the drawbacks of the conventional Kalman filtering, a kind of adaptive Kalman filtering approach for colored 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 colored noise by adopting the equivalent measurement equation in order to avoid complicated computation and the expansion of the filter dimension. 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
Keywords :
adaptive Kalman filters; adaptive signal processing; diagnostic radiography; filtering theory; medical image processing; noise; X-ray cephalometeric image; adaptive Kalman filtering; colored noise; correlative method; equivalent measurement equation; experiments; measurement noise; performance; stomatology; system output; Adaptive filters; Colored noise; Equations; Filtering; Gaussian noise; Kalman filters; Noise measurement; Pattern recognition; Strain measurement; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
Print_ISBN :
0-7803-3676-3
Type :
conf
DOI :
10.1109/ICICS.1997.647079
Filename :
647079
Link To Document :
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