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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Research Management Institute
2012
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/12956/ |
| _version_ | 1848803208720285696 |
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| 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 |
| building | UiTM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T21:35:36Z |
| format | Article |
| id | uitm-12956 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:35:36Z |
| publishDate | 2012 |
| publisher | Research Management Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-129562016-05-30T03:08:01Z https://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 srj 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 https://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. (2012) Scientific Research Journal <https://ir.uitm.edu.my/view/publication/Scientific_Research_Journal.html>, 9 (1). pp. 15-27. ISSN 1675-7009 https://srj.uitm.edu.my/ |
| 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 |
| 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_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_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_sort | digital radiographic image enhancement for weld defect detection using smoothing and morphological transformations / suhaila abdul halim, arsmah ibrahim and yupiter harangan prasada manurung |
| topic | Smoothness of functions Radiographic magnification Malaysia |
| url | https://ir.uitm.edu.my/id/eprint/12956/ https://ir.uitm.edu.my/id/eprint/12956/ |