eprintid: 310 rev_number: 8 eprint_status: archive userid: 5 dir: disk0/00/00/03/10 datestamp: 2011-03-16 lastmod: 2018-02-27 09:51:11 status_changed: 2013-06-28 11:14:19 type: techreport metadata_visibility: show item_issues_count: 0 creators_name: Benedetti, Manuel creators_name: Franceschini, Gabriele creators_name: Azaro, Renzo creators_name: Massa, Andrea title: A Numerical Assessment of the Reconstruction Effectiveness of the Integrated GA-Based Multicrack Strategy ispublished: pub subjects: TU full_text_status: public keywords: Non-destructive Testing and Evaluation, Microwave Imaging, Multicrack Detection abstract: This paper is aimed at presenting a numerical study on the reconstruction accuracy (quantitative imaging) of the integrated genetic algorithm (GA)-based multicrack strategy, thus completing the assessment previously carried out and limited to verify the accuracy of the qualitative imaging (i.e., crack detection, location, and size estimation). The obtained results prove an acceptable reliability and accuracy of the GAbased integrated strategy also in reconstructing multiple defective regions even though the resulting performances degrade in comparison with those achieved by the same approach when used for qualitative imaging purposes. (c) 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. date: 2010-01 date_type: published publisher: University of Trento institution: University of Trento department: informaticat refereed: TRUE referencetext: [1] R. Zoughi, Microwave Nondestructive Testing and Evaluation, Kluwer Academic Publishers, The Netherlands, 2000. [2] S. J. Lockwood and H. Lee, “Pulse-echo microwave imaging for NDE of civil structures: Image reconstruction, enhancement, and object recognition,” Int. J. Imaging System Technol., vol. 8, pp. 407-412, 1997. [3] J. C. Bolomey, “Recent European developments in active microwave imaging for industrial, scientific and medical applications,” IEEE Trans. Microwave Theory Tech., vol. 37, pp. 2109–2117, June 1989. [4] W. C. Chew and Y. M. Wang, “Reconstruction of two-dimensional permittivity distribution using the distorted Born iterative method,” IEEE Trans. Medical Imaging, vol. 9, pp. 218-225, 1990. [5] C. C. Chiu and P. T. Liu, “Image reconstruction of perfectly conducting cylinder by the genetic algorithm,” IEE Proc. Microw. Antennas Propag., vol. 3, p. 143, 1996. [6] S. Caorsi, A. Massa, and M. Pastorino, “A crack identification microwave procedure based on a genetic algorithm for nondestructive testing,” IEEE Trans. Antennas Propagat., vol. 49, pp. 1812-1820, 2001. [7] S. Caorsi, A. Massa, M. Pastorino, and M. Donelli, “Improved microwave imaging procedure for nondestructive evaluations of two-dimensional structures,” IEEE Trans. Antennas Propagat., vol. 52, pp. 1386-1397, 2004. [8] M. Benedetti, M. Donelli, and A. Massa, “Multicrack detection in two-dimensional structures by means of GA-based strategies”, IEEE Trans. Antennas Propagat., vol. 55, pp. 205-215, 2007. [9] S. Caorsi, G. L. Gragnani, M. Pastorino, and M. Rebagliati, “A model-driven approach to microwave diagnostics in biomedical applications,” IEEE Trans. Microwave Theory Tech., vol. 44, pp. 1910-1920, 1996. citation: Benedetti, Manuel and Franceschini, Gabriele and Azaro, Renzo and Massa, Andrea (2010) A Numerical Assessment of the Reconstruction Effectiveness of the Integrated GA-Based Multicrack Strategy. [Technical Report] document_url: http://www.eledia.org/students-reports/310/1/DISI-11-063.R124.pdf