Yazid, Haniza and Arof, Hamzah and Yazid, Hafizal and Ahmad, Sahrim and Mohamed, Abdul Aziz and Ahmad, Fauzan (2011) Discontinuities detection in welded joints based on inverse surface thresholding. NDT & E International, 44 (7). pp. 563-570. ISSN 0963-8695, DOI https://doi.org/10.1016/j.ndteint.2011.06.002.
Full text not available from this repository.Abstract
Automated detection of welding defects in radiographic images becomes nontrivial when uneven illumination, contrast and noise are present. In this paper, a new approach using surface thresholding method is proposed to detect defects in radiographic images of welding joints. In the first stage, several image processing techniques namely fuzzy c means clustering, region filling, mean filtering, edge detection, Otsu thresholding, and morphological operations method are utilized to locate the area where defects might exist. This is followed by the construction of the inverse thresholding surface and its implementation to locate defects in the identified area. The proposed method was tested on 60 radiographic images and it obtained 94.6% sensitivity. Its performance is compared to that of the watershed segmentation, which obtained 69.6%. © 2011 Elsevier Ltd.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Non-destructive testing; Welded joints; Inverse surface thresholding; Fuzzy c means clustering |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 18 Nov 2019 04:10 |
| Last Modified: | 18 Nov 2019 04:10 |
| URI: | http://eprints.um.edu.my/id/eprint/23045 |
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