Abstract
Accurate inspection ofweldedmaterials is important in relation to achieve acceptable standards. Radiography, a non-destructive test method, is commonly used to evaluate the internal condition ofa material with respect to defect detection. Thepresence ofnoise in low resolution ofradiographic images significantly complicates analysis; therefore attaining higher quality radiographic images makes defect detection more readily achievable. This paper presents a study pertaining to the quality enhancement of
radiographic images with respect to different types of defects. A series of digital radiographic weld flaw images were smoothed using multiple smoothing techniques to remove inherent noise followed by top and bottom hat morphological transformations. Image quality was evaluated quantitatively with respect to SNR, PSNR andMAE. The results indicate that
smoothing enhances the quality ofradiographic images, thereby promoting defect detection with the respect to original radiographic images.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Abdul Halim, Suhaila suhaila889@salam.uitm.edu.my Ibrahim, Arsmah UNSPECIFIED Prasada Manurung, Yupiter Harangan UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Analysis > Smoothness of functions R Medicine > RC Internal Medicine > Radiography > Radiographic magnification R Medicine > RC Internal Medicine > Radiography > Malaysia |
Divisions: | Universiti Teknologi MARA, Shah Alam > Research Management Centre (RMC) |
Journal or Publication Title: | Scientific Research Journal |
UiTM Journal Collections: | UiTM Journal > Scientific Research Journal (SRJ) |
ISSN: | 1675-7009 |
Volume: | 9 |
Number: | 1 |
Page Range: | pp. 15-27 |
Keywords: | Radiography, smoothing and morphological transformations, Signal to Noise Ratio, Peak Signal to Noise Ratio, Mean Absolute Error. |
Date: | 2012 |
URI: | https://ir.uitm.edu.my/id/eprint/12956 |
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