Tomographic Images Reconstruction Simulation for Defects Detection in Specimen

Authors: Kedit J.

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

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1331477

References:

[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