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New Electric Tomography Scheme and Algorithms for Fast Recognition of Compound Structures

Published online by Cambridge University Press:  31 January 2012

Alexandre Grebennikov*
Affiliation:
Facultad de Ciencias Físicas-Matemáticas, BUAP, San Claudio s/n, Ciudad Universitaria, 72570, Puebla, México. E-mail: [email protected]
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Abstract

Necessity of recognition of compound structures appears in different applications. Electrical tomography is one of perspective approach for investigation of material structures. A new special measurement scheme in electric tomography is proposed for the domain as a circle. This scheme opens possibility to construct electric tomography apparatus with faster computer recognition of structure of compounds materials, using General Ray algorithms. Computer simulation of this scheme is realised with MATLAB software and justified by numerical experiments on examples, related with electrical tomography.

Type
Articles
Copyright
Copyright © Materials Research Society 2012

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References

REFERENCES

1. Williams, R. A. and Beck, M.S., Process Tomography: Principles, Techniques and Applications (Butterworth-Heinemann, Oxford, 1995).Google Scholar
2. Beck, M. S. and Brown, B.H., Process tomography: a European innovation and its application. Measurement Science and Technology, 7, 215224 (1996).Google Scholar
3. Isakov, V., Inverse Problems for Partial differential Equations (Springer, New York, 1998).Google Scholar
4. Grebennikov, A. I., A novel approach for solution of direct and inverse problems for some equations of mathematical physics. Proceedings of the 5- th International conference on Inverse Problems in Engineering: Theory and Practice (Ed. Lesnic, D.), Vol. II, chapter G04, 1-10 (Leeds University Press, Leeds, UK, 2005).Google Scholar
5. Yang, W.Q., Beck, M.S. and Byars, M., Electrical capacitance tomography: from design to applications. Measurement and Control, 28, 261 (1995).Google Scholar
6. Fraguela, A., Gamio, C. and Hinestroza, D., The inverse problem of electrical capacitancetomography and its application to gas-oil 2-phase flow imaging. WSEAS Transactions on Systems,1(2), 130137 (2002).Google Scholar
7. Vauhkonen, M., Lionhert, W.R., Heikkienen, L.M., Vauhkonen, P.J. and Kaipio, J.P., A MATLAB package for the EIDORS project to reconstruct two-dimensional EIT images. Physiological Measurement, 22, 107111 (2001).Google Scholar
8. Radon, J., Uber Die Bestimmung von Funktionen Durch Ihre Integrawerte Langs Gewisser Mannigfaltigkeiten. Berichte Sachsische Academic der Wissenschaften, Math.-Phys. KI. N 69, 262267 (Leipzig, 1917).Google Scholar
9. Grebennikov, A., Regularization algorithms for electric tomography images reconstruction. WSEAS Transaction on Systems Journal, 2(2), 487492 (2003).Google Scholar