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Image De-noising and Enhancement – A Comparative Study on Ultrasound TOFD Scans

by Srinivasan R, Ramamoorthi P.v, Vijayarekha K, Venkatraman B
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 4
Year of Publication: 2012
Authors: Srinivasan R, Ramamoorthi P.v, Vijayarekha K, Venkatraman B
10.5120/7612-0656

Srinivasan R, Ramamoorthi P.v, Vijayarekha K, Venkatraman B . Image De-noising and Enhancement – A Comparative Study on Ultrasound TOFD Scans. International Journal of Computer Applications. 49, 4 ( July 2012), 1-5. DOI=10.5120/7612-0656

@article{ 10.5120/7612-0656,
author = { Srinivasan R, Ramamoorthi P.v, Vijayarekha K, Venkatraman B },
title = { Image De-noising and Enhancement – A Comparative Study on Ultrasound TOFD Scans },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 4 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number4/7612-0656/ },
doi = { 10.5120/7612-0656 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:45:23.664671+05:30
%A Srinivasan R
%A Ramamoorthi P.v
%A Vijayarekha K
%A Venkatraman B
%T Image De-noising and Enhancement – A Comparative Study on Ultrasound TOFD Scans
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 4
%P 1-5
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Non-destructive Evaluation (NDE) has become one of the most widely used technique for flaw detection due to its many advantages. One major problem faced in the process is the pre-processing of the obtained b-scan image to eliminate the system-generated noise. Not many processing techniques exist for the de-noising of such images given the random nature of the noise present. This paper gives an account of some of the de-noising and enhancement techniques which can be used for Time of Flight Diffraction (TOFD) technique for detecting weld defects. Results of the application of these techniques to the actual images obtained from scanning are shown, and the techniques are also compared with the aim of finding the most suitable one. In this paper, we have utilized various filters and transforms and have estimated the results by calculating the Peak Signal-Noise Ratio (PSNR) of each of the processed images. The final processed images have been tabulated and presented for different real-time scan signals.

References
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Index Terms

Computer Science
Information Sciences

Keywords

De-noising Image Enhancement Filter Curvelets Wavelets TOFD

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