Tomographic Images Reconstruction Simulation for Defects Detection in Specimen
This paper is the tomographic images reconstruction
simulation for defects detection in specimen. The specimen is the
thin cylindrical steel contained with low density materials. The
defects in material are simulated in three shapes.The specimen image
function will be transformed to projection data. Radon transform and
its inverse provide the mathematical for reconstructing tomographic
images from projection data. The result of the simulation show that
the reconstruction images is complete for defect detection.
[1] Alvar, K; Maung,T., Orphan, V.,Polichar, R., 1990. "Neutron
radiography with SNRS.Neutron Radiography, Vol. 3. Kluwer
Academic Publishers, Dordrecht, pp. 439-446.
[2] Harms, A.A., Wyman, D.R.,1986. Mathematics and Physics of Neutron
Radiography. D. Reidel Publishing Co., Dordrecht,Holland.
[3] Mughabghab, S.F., Divadeenan, M., Holden, N.E., 1981. Neutron
Cross Sections, Vol. 1. Academic Press, New York, NY.
[4] Richards, W.J., Gibbons, M.R., Shields, K.C., 2000. Advanced neutron
tomography.
[5] A. C. Kak and Malcolm Slaney, Principles of Computerized
Tomographic Imaging. Society of Industrial and Applied Mathematics,
2001
[6] S. Horbelt, M. Liebling, M. Unser: Filter design for filtered backprojection
guided by the interpolation model, Proceedings of the SPIE
International Symposium on Medical Imaging: Image Processing
(MI'02), San Diego CA, USA, february 24-28, 2002, vol. 4684, Part II,
pp. 806-813
[7] http://en.wikipedia.org/wiki/Radon_transform
[1] Alvar, K; Maung,T., Orphan, V.,Polichar, R., 1990. "Neutron
radiography with SNRS.Neutron Radiography, Vol. 3. Kluwer
Academic Publishers, Dordrecht, pp. 439-446.
[2] Harms, A.A., Wyman, D.R.,1986. Mathematics and Physics of Neutron
Radiography. D. Reidel Publishing Co., Dordrecht,Holland.
[3] Mughabghab, S.F., Divadeenan, M., Holden, N.E., 1981. Neutron
Cross Sections, Vol. 1. Academic Press, New York, NY.
[4] Richards, W.J., Gibbons, M.R., Shields, K.C., 2000. Advanced neutron
tomography.
[5] A. C. Kak and Malcolm Slaney, Principles of Computerized
Tomographic Imaging. Society of Industrial and Applied Mathematics,
2001
[6] S. Horbelt, M. Liebling, M. Unser: Filter design for filtered backprojection
guided by the interpolation model, Proceedings of the SPIE
International Symposium on Medical Imaging: Image Processing
(MI'02), San Diego CA, USA, february 24-28, 2002, vol. 4684, Part II,
pp. 806-813
[7] http://en.wikipedia.org/wiki/Radon_transform
@article{"International Journal of Engineering, Mathematical and Physical Sciences:53181", author = "Kedit J.", title = "Tomographic Images Reconstruction Simulation for Defects Detection in Specimen", abstract = "This paper is the tomographic images reconstruction
simulation for defects detection in specimen. The specimen is the
thin cylindrical steel contained with low density materials. The
defects in material are simulated in three shapes.The specimen image
function will be transformed to projection data. Radon transform and
its inverse provide the mathematical for reconstructing tomographic
images from projection data. The result of the simulation show that
the reconstruction images is complete for defect detection.", keywords = "Tomography, Tomography Reconstruction, Radon
Transform", volume = "6", number = "9", pages = "1265-3", }