Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/6902
Title: A comparative evaluation of different segmentation techniques to detect flaws in weldments radiographically
Authors: Rathod V.R.
Anand, Radhey Shyam
Published in: Insight: Non-Destructive Testing and Condition Monitoring
Abstract: In this paper, the concept of application of three segmentation techniques, ie morphological edge-based segmentation, region growing segmentation and multistage watershed segmentation, has been implemented on radiographic NDT images of weldments for the detection of flaws produced during the welding process. These methodologies are compared and concluded to be effective for the detection of all nine possible types of weld flaw (slag inclusion, worm hole, porosity, incomplete penetration, under cuts, cracks, lack of fusion, weaving fault and slag line) and feature extraction. After being successfully tested on more than 80 radiographic images obtained from EURECTEST, International Scientific Association Brussels, Belgium, 24 radiographs of ship welds provided by Technic Control Co, Poland, were used, obtained from Ioannis Valavanis, Greece. A comparative table showing the results is also presented in the paper. Many researchers used ANN, fuzzy logic, SVM and ANFIS novel methods to segment such types of image. Even though the results of these methods are impressive, they are time-consuming and require complex implementation. In contrast, the present methods are simple to implement and are optimised for time. The procedure to detect all types of flaw and feature extraction is implemented by a segmentation algorithm, which can overcome computer complexity problems. The experimental results show that our proposed method gives good performance on radiographic images.
Citation: Insight: Non-Destructive Testing and Condition Monitoring (2011), 53(10): 542-551
URI: https://doi.org/10.1784/insi.2011.53.10.542
http://repository.iitr.ac.in/handle/123456789/6902
Issue Date: 2011
Keywords: Morphological edge detection
Multistage watershed transformation
Radiographic images
Region growing
Segmentation
Weld flaws
ISSN: 13542575
Author Scopus IDs: 26665025700
56363331000
Author Affiliations: Rathod, V.R., Department of Electrical Engineering, IIT Roorkee, Uttarakhand 247667, India
Anand, R.S., Department of Electrical Engineering, IIT Roorkee, Uttarakhand 247667, India
Corresponding Author: Rathod, V.R.; Department of Electrical Engineering, IIT Roorkee, Uttarakhand 247667, India; email: vicky7574@gmail.com
Appears in Collections:Journal Publications [EE]

Files in This Item:
There are no files associated with this item.
Show full item record


Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.