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

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 s...

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Main Authors: Abdul Halim, Suhaila, Ibrahim, Arsmah, Prasada Manurung, Yupiter Harangan
Format: Article
Language:English
Published: Research Management Institute 2012
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/12956/
http://ir.uitm.edu.my/id/eprint/12956/1/AJ_SUHAILA%20ABDUL%20HALIM%20SRJ%2012%201.pdf
id uitm-12956
recordtype eprints
spelling uitm-129562016-05-30T03:08:01Z http://ir.uitm.edu.my/id/eprint/12956/ 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 Ibrahim, Arsmah Prasada Manurung, Yupiter Harangan Smoothness of functions Radiographic magnification Malaysia 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. Research Management Institute 2012 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/12956/1/AJ_SUHAILA%20ABDUL%20HALIM%20SRJ%2012%201.pdf 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
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Smoothness of functions
Radiographic magnification
Malaysia
spellingShingle Smoothness of functions
Radiographic magnification
Malaysia
Abdul Halim, Suhaila
Ibrahim, Arsmah
Prasada Manurung, Yupiter Harangan
Digital radiographic image enhancement for weld defect detection using smoothing and morphological transformations / Suhaila Abdul Halim, Arsmah Ibrahim and Yupiter Harangan Prasada Manurung
description 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.
format Article
author Abdul Halim, Suhaila
Ibrahim, Arsmah
Prasada Manurung, Yupiter Harangan
author_facet Abdul Halim, Suhaila
Ibrahim, Arsmah
Prasada Manurung, Yupiter Harangan
author_sort Abdul Halim, Suhaila
title Digital radiographic image enhancement for weld defect detection using smoothing and morphological transformations / Suhaila Abdul Halim, Arsmah Ibrahim and Yupiter Harangan Prasada Manurung
title_short Digital radiographic image enhancement for weld defect detection using smoothing and morphological transformations / Suhaila Abdul Halim, Arsmah Ibrahim and Yupiter Harangan Prasada Manurung
title_full Digital radiographic image enhancement for weld defect detection using smoothing and morphological transformations / Suhaila Abdul Halim, Arsmah Ibrahim and Yupiter Harangan Prasada Manurung
title_fullStr Digital radiographic image enhancement for weld defect detection using smoothing and morphological transformations / Suhaila Abdul Halim, Arsmah Ibrahim and Yupiter Harangan Prasada Manurung
title_full_unstemmed Digital radiographic image enhancement for weld defect detection using smoothing and morphological transformations / Suhaila Abdul Halim, Arsmah Ibrahim and Yupiter Harangan Prasada Manurung
title_sort digital radiographic image enhancement for weld defect detection using smoothing and morphological transformations / suhaila abdul halim, arsmah ibrahim and yupiter harangan prasada manurung
publisher Research Management Institute
publishDate 2012
url http://ir.uitm.edu.my/id/eprint/12956/
http://ir.uitm.edu.my/id/eprint/12956/1/AJ_SUHAILA%20ABDUL%20HALIM%20SRJ%2012%201.pdf
first_indexed 2023-09-18T22:49:37Z
last_indexed 2023-09-18T22:49:37Z
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