DocumentCode :
2293831
Title :
A Novel Model for Combining Projection and Image Filtering Using Kalman and Discrete Wavelet Transform in Computerized Tomography
Author :
Laia, Marcos A M ; Levada, Alexandre L M ; Botega, Leonardo C. ; Pereira, Maurício F L ; Cruvinel, Paulo E. ; Macedo, Álvaro
Author_Institution :
Dept. of Comput., Fed. Univ. of Sao Carlos, Sao Carlos
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
219
Lastpage :
226
Abstract :
This paper presents a novel model for combining projection and image filtering in computerized tomography. First, it is used an a priori one-dimensional projection filtering, through an extended Kalman filter with joint estimation. Then, the reconstructed images, obtained filtered backprojection algorithms (including the use of Hamming windows), are filtered using the two-dimensional DWT and wavelet thresholding, a non-linear technique. Experiments considering only one filtering stage (a priori 1-D filtering or 2-D DWT image filtering) show images with significant higher noise levels and the combination showed great noise reduction. The obtained results lead to the conclusion that the proposed combining model is a valid and interesting tool for tomographic image analysis.
Keywords :
Kalman filters; computerised tomography; discrete wavelet transforms; image reconstruction; DWT; computerized tomography; discrete wavelet transform; extended Kalman filter; image filtering; image projection; tomographic image analysis; wavelet thresholding; Attenuation; Computed tomography; Discrete wavelet transforms; Filtering; Image reconstruction; Kalman filters; Optical attenuators; Physics computing; Soil; Transversal filters; Computerized Tomography Images; Kalman Filtering; Wavelets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Engineering, 2008. CSE '08. 11th IEEE International Conference on
Conference_Location :
Sao Paulo
Print_ISBN :
978-0-7695-3193-9
Type :
conf
DOI :
10.1109/CSE.2008.37
Filename :
4578236
Link To Document :
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