Digital radiographic image enhancement for weld defect detection using smoothing and morphological transformations / Suhaila Abdul Halim, Arsmah Ibrahim and Yupiter Harangan Prasada Manurung

Abdul Halim, Suhaila and Ibrahim, Arsmah and Prasada Manurung, Yupiter Harangan (2012) Digital radiographic image enhancement for weld defect detection using smoothing and morphological transformations / Suhaila Abdul Halim, Arsmah Ibrahim and Yupiter Harangan Prasada Manurung. Scientific Research Journal, 9 (1). pp. 15-27. ISSN 1675-7009

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Official URL: https://srj.uitm.edu.my/

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
Creators:
Creators
Email
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
Official URL: https://srj.uitm.edu.my/
Item ID: 12956
Uncontrolled Keywords: Radiography, smoothing and morphological transformations, Signal to Noise Ratio, Peak Signal to Noise Ratio, Mean Absolute Error.
URI: https://ir.uitm.edu.my/id/eprint/12956

ID Number

12956

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