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    Abstract
2012 (Vol. 4, Issue: 24)
Article Information:

Comparative performance of image fusion methodologies in eddy current testing

S. Thirunavukkarasu, B.P.C. Rao, Anil Kumar Soni, S. Shuaib Ahmed and T. Jayakumar
Corresponding Author:  B.P.C. Rao 

Key words:  Bayesian fusion, eddy current testing, laplacian pyramid, nondestructive evaluation, principal component analysis , wavelet transform,
Vol. 4 , (24): 5548-5551
Submitted Accepted Published
April 07, 2012 April 25, 2012 December 15, 2012
Abstract:

Image fusion methodologies have been studied for improving the detectability of eddy current Nondestructive Testing (NDT). Pixel level image fusion has been performed on C-scan eddy current images of a sub-surface defect at two different frequencies. Multi-resolution analysis based Laplacian pyramid and wavelet fusion methodologies, statistical inference based Bayesian fusion and Principal Component Analysis (PCA) based fusion methodologies have been studied towards improving the detectability of defects. The performance of the fusion methodologies has been compared using image metrics such as SNR and entropy. Bayesian based fusion methodology has shown better performance as compared to other methodologies with 33.75 dB improvement in the SNR and an improvement of 3.22 in the entropy.
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  Cite this Reference:
S. Thirunavukkarasu, B.P.C. Rao, Anil Kumar Soni, S. Shuaib Ahmed and T. Jayakumar, 2012. Comparative performance of image fusion methodologies in eddy current testing.  Research Journal of Applied Sciences, Engineering and Technology, 4(24): 5548-5551.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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