Evaluation study of the effectiveness of the integrated genetic-algorithm-based strategy for the tomographic subsurface detection of defects
JOSA A, Vol. 23, Issue 6, pp. 1311-1325 (2006)
http://dx.doi.org/10.1364/JOSAA.23.001311
Enhanced HTML Acrobat PDF (1545 KB)
Abstract
An assessment is presented of the integrated genetic-algorithm strategy based on a numerically computed Green’s function for subsurface inverse scattering problems arising in nondestructive evaluation/testing industrial applications. To show the effectiveness and current limitations of such a microwave technique in dealing with various scenarios characterized by lossless and lossy host media as well as in noisy environments, several numerical experiments are considered. The results obtained confirm the effectiveness of the approach in fully exploiting the available a priori information through a suitable scattering model, which allows a nonnegligible enhancement of the reconstruction accuracy as well as a reduction of the overall computational burden with respect to standard imaging approaches.
© 2006 Optical Society of America
OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(110.0110) Imaging systems : Imaging systems
(110.6960) Imaging systems : Tomography
(290.0290) Scattering : Scattering
(290.3200) Scattering : Inverse scattering
ToC Category:
Imaging Systems
History
Original Manuscript: July 27, 2005
Revised Manuscript: November 14, 2005
Manuscript Accepted: November 18, 2005
Virtual Issues
Vol. 1, Iss. 7 Virtual Journal for Biomedical Optics
Citation
Manuel Benedetti, Massimo Donelli, Gabriele Franceschini, Andrea Massa, and Matteo Pastorino, "Evaluation study of the effectiveness of the integrated genetic-algorithm-based strategy for the tomographic subsurface detection of defects," J. Opt. Soc. Am. A 23, 1311-1325 (2006)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=josaa-23-6-1311
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