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Abstract
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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
Submitted: April 07, 2012
Accepted: April 25, 2012
Published: December 15, 2012 |
Abstract:
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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.
Key words: Bayesian fusion, eddy current testing, laplacian pyramid, nondestructive evaluation, principal component analysis , wavelet transform,
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Cite this Reference:
S. Thirunavukkarasu, B.P.C. Rao, Anil Kumar Soni, S. Shuaib Ahmed and T. Jayakumar, . Comparative performance of image fusion methodologies in eddy current testing. Research Journal of Applied Sciences, Engineering and Technology, (24): 5548-5551.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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