Research on spatial non-homogenous Kalman filter and its application in cephalometric image

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. The noise is effectively reduced and the edges in the image are preserved by adding information about th...

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Bibliographic Details
Main Authors: Sun Xinding, Wang Yan, Xu Zhenming, Xu Changsheng
Format: Conference Proceeding
Language:English
Subjects:
Autocorrelation
Digital filters
Gaussian noise
Information filtering
Information filters
Noise measurement
Noise reduction
Parameter estimation
Predictive models
Taylor series
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Summary: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. 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.
DOI:10.1109/ICSIGP.1996.566280