Restoration of neutron radiography images

Neutron radiographic images have been used in a wide variety of industrial research and non-destructive testing applications since the early 1960s. Image in any form was never an exact representation of the object under observation because it is always corrupted by the imaging system itself. Neutron...

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Main Author:	Mohd. Nor, Norehan
Format:	Thesis
Language:	English
Published:	2010
Subjects:	QC Physics
Online Access:	http://eprints.utm.my/id/eprint/11372/7/NorehanMohdNorMFS2010.pdf
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id	my-utm-ep.11372
record_format	uketd_dc
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QC Physics
spellingShingle	QC Physics Mohd. Nor, Norehan Restoration of neutron radiography images
description	Neutron radiographic images have been used in a wide variety of industrial research and non-destructive testing applications since the early 1960s. Image in any form was never an exact representation of the object under observation because it is always corrupted by the imaging system itself. Neutron radiography image also encounters the same problem. Digital image restoration of image degraded by blurring and random noise is a solution to the problem. This research will try to restore the neutron radiography images with several restoration methods. The proposed methods are Weiner filter, regularized filter, Lucy-Richardson algorithm and blind deconvolution. All of the techniques were implemented using MATLAB programming to facilitate the demonstration of the effect of the methods. The result obtained will be analyzed and compared. It is shown that all the proposed methods can be used for restoration of neutron radiography images. The best and effective result for neutron radiography are by using Weiner filter with autocorrelation function and Lucy-Richardson (LR) algorithm with 500 iterations compared to other methods.
format	Thesis
qualification_level	Master's degree
author	Mohd. Nor, Norehan
author_facet	Mohd. Nor, Norehan
author_sort	Mohd. Nor, Norehan
title	Restoration of neutron radiography images
title_short	Restoration of neutron radiography images
title_full	Restoration of neutron radiography images
title_fullStr	Restoration of neutron radiography images
title_full_unstemmed	Restoration of neutron radiography images
title_sort	restoration of neutron radiography images
granting_institution	Universiti Teknologi Malaysia, Faculty of Science
granting_department	Faculty of Science
publishDate	2010
url	http://eprints.utm.my/id/eprint/11372/7/NorehanMohdNorMFS2010.pdf
_version_	1747814846332665856
spelling	my-utm-ep.113722017-09-28T00:53:41Z Restoration of neutron radiography images 2010-04 Mohd. Nor, Norehan QC Physics Neutron radiographic images have been used in a wide variety of industrial research and non-destructive testing applications since the early 1960s. Image in any form was never an exact representation of the object under observation because it is always corrupted by the imaging system itself. Neutron radiography image also encounters the same problem. Digital image restoration of image degraded by blurring and random noise is a solution to the problem. This research will try to restore the neutron radiography images with several restoration methods. The proposed methods are Weiner filter, regularized filter, Lucy-Richardson algorithm and blind deconvolution. All of the techniques were implemented using MATLAB programming to facilitate the demonstration of the effect of the methods. The result obtained will be analyzed and compared. It is shown that all the proposed methods can be used for restoration of neutron radiography images. The best and effective result for neutron radiography are by using Weiner filter with autocorrelation function and Lucy-Richardson (LR) algorithm with 500 iterations compared to other methods. 2010-04 Thesis http://eprints.utm.my/id/eprint/11372/ http://eprints.utm.my/id/eprint/11372/7/NorehanMohdNorMFS2010.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science 1. Spowart, A. R. Neutron Radiography. Journal of Physics E: Scientific Instruments. 1972. 5: 497-510. 2. Heller, A. K. and Brenizer, J. S. Neutron Radiography. In: Anderson, I. S. (Eds.). Neutron Imaging and Applications, Neutron Scattering Applications and Techniques. USA: Springer Science Business Media. 67-80; 2009. 3. Bray, D. E. and McBride, D. (Eds.). Nondestructive Testing Techniques. Canada: Wiley-Interscience Publication. 1992. 4. Hassan, M. H. Point Scattered Function (PScF) for Fast Neutron Radiography. Nuclear Instruments and Methods in Physics Research B. 2009. 267: 2545–2549. 5. Paul, M. (Ed.). Nondestructive Testing Handbook: Radiography and Radioactive Testing. 2nd ed. USA: American Society for Nondestructive Testing. 1985. 6. Jiyoung Park. Neutron Scattering Correction Functions for Neutron Radiographic Images. Ph. D Thesis. University of Michigan; 2000. 7. Aziz Ghani Qureshi. Kalman Filtering for Digital Image Restoration. Ph. D Thesis. Queen’s University; 1991. 8. Guan L. and Ward, R. K. Restoration of Randomly Blurred Images by the Wiener Filter. IEEE Transaction on Acoustics, Speech, and Signal Processing. 1989. 37(4): 589-592. 9. Mesarovic, V. Z., Galatsanos, N. P. and Katsaggelos, A. K. Regularized Constrained Total Least Squares Image Restoration. IEEE Transactions on Image Processing. 1995. 4(8): 1096-1108. 10. Kundur, D. and Hatzinakos, D. Novel Blind Deconvolution Scheme for Image Restoration using Recursive Filtering. IEEE Transactions on Signal Processing. 1998. 46(2): 375-390. 11. Wei, J. Image Restoration in Neutron Radiography Using Complex-Wavelet Denoising and Lucy-Richardson Deconvolution. 8th International Conference on Signal Processing. November 16-20. Beijing: IEEE Conferences.2006. 12. Magdy Shehata Abdelrahman. Scattering Correction and Image Restoration in Neutron Radiography and Computed Tomography. Ph. D Thesis. University of Texas, Austin; 2000. 13. Gonzalez, R.C., Woods, R.E. and Eddins, S. L. Digital Image Processing using MATLAB. USA: Pearson Prentice Hall. 2004. 14. Philip, C. One-Dimensional Processing for Adaptive Image Restoration. Technical Report 501. Massachusetts Institute of Technology; 1984. 15. Koch Shlomo. Restoration of Spatially Varying Images Using Multiple Model Extended Kalman Filters. Ph. D. Thesis. Rensselaer Polytechnic Institute; 1992. 16. Casalta, S., Daquino, G. G., Metten, L., Oudaerta, J. and Van de Sandea, A. Digital Image Analysis of X-ray and Neutron Radiography for the Inspection and the Monitoring of Nuclear Materials. NDT&E International. 2003. 36: 349-355. 17. Aggelos, K., Katsaggelos, S., Derin B. and Chun-Jen T. Iterative Image Restoration. In: Alan, C. B. The Essential Guide to Image Processing. 2nd ed.. New York: Elsevier Inc. 349-383; 2009. 18. Eldevik, K., Nordhoy, W. and Skretting, A. Relationship Between Sharpness and Noise in CT Images Reconstructed with Different Kernels. Radiation Protection Dosimetry. 2010. doi:10.1093/rpd/ncq063; 1-4. 19. Fengyun, Q., Yong, W., Mingyan, J. and Dongfeng, Y. Adaptive Image Restoration Based on the Genetic Algorithm and Kalman Filtering. Third International Conference on Intelligent Computing. August 21-24. China: 2007. 742-750.

Restoration of neutron radiography images

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