DocumentCode
3108912
Title
Application of Digital Imaging Technique in Electrical Charge Tomography System for Image Reconstruction Validation
Author
Isa, Mohd Daud ; Rahmat, Mohd Fuad
Author_Institution
Electr. Eng. Dept., Politeknik Kota Bharu, Kota Bharu, Malaysia
fYear
2009
fDate
28-30 Dec. 2009
Firstpage
277
Lastpage
281
Abstract
Image reconstruction in electrical charge tomography is vital and has not been widely studied. There are three methods introduced before namely linear back projection, filter back projection and least square methods. These normally face with ill-posed problem and its solution is unstable and inaccuracy. In this paper, the new image reconstruction method has been introduced to reconstruct the image cross-section of material in gravity mode conveyor pipeline. Numerical analysis result indicated that this algorithm is efficient to overcome the numerical instability. Instead of image reconstruction process, validation the accuracy of the image is very important. It would be parts of verify process to the new image reconstruction method. In this system, digital imaging technique is used to interrogate the flow in pipeline around sensing area using CCD camera. The result between image reconstruction by new method and image captured by CCD camera will be compared.
Keywords
CCD image sensors; computerised tomography; image reconstruction; least squares approximations; CCD camera; digital imaging technique; electrical charge tomography system; filter back projection; gravity mode conveyor pipeline; image cross-section; image reconstruction validation; least square methods; linear back projection; Charge coupled devices; Charge-coupled image sensors; Digital images; Gravity; Image reconstruction; Least squares methods; Nonlinear filters; Numerical analysis; Pipelines; Tomography;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Vision, 2009. ICMV '09. Second International Conference on
Conference_Location
Dubai
Print_ISBN
978-0-7695-3944-7
Electronic_ISBN
978-1-4244-5645-1
Type
conf
DOI
10.1109/ICMV.2009.35
Filename
5381128
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