Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/6904
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRathod V.R.-
dc.contributor.authorAnand, Radhey Shyam-
dc.date.accessioned2020-10-09T04:41:59Z-
dc.date.available2020-10-09T04:41:59Z-
dc.date.issued2012-
dc.identifier.citationJournal of Nondestructive Evaluation (2012), 31(1): 1-16-
dc.identifier.issn1959298-
dc.identifier.urihttps://doi.org/10.1007/s10921-011-0116-6-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/6904-
dc.description.abstractFor detecting the flaws and their type in radiographic images (having different types of flaws), three segmentation techniques have been applied here. Every segmentation technique has its own advantages and disadvantages i.e. results obtained are of varying quality. Taking this into account, comparative study has been performed here to find the best segmentation technique for a particular type of flaw. These methodologies are compared and concluded to be effective for all possible nine types of weld flaws detection (Slag Inclusion, Worm Hole, Porosity Incomplete penetration, Under cuts, Cracks, Lack of fusion, Weaving fault Slag line), and feature extraction, after being successfully tested on more than 80 radiographic images obtained from EURECTEST, International scientific Association Brussels, Belgium, and 24 radiographs of ship weld provided by Technic Control Co. (Poland) were used, obtained from Ioannis Valavanis Greece, and 67 radiographs of actual weld test samples obtained from Bharat Heavy Electrical Limited (BHEL) India. The comparison with other NDT methods with application of image processing on the radiographic images of weld defects is aimed to detect the defects reliably and make accept/reject decision as per the international standard. © Springer Science+Business Media, LLC 2011.-
dc.language.isoen_US-
dc.relation.ispartofJournal of Nondestructive Evaluation-
dc.subjectMorphological edge detection, and multistage watershed transformation-
dc.subjectRadiographic images weld flaws-
dc.subjectRegion growing-
dc.subjectSegmentation-
dc.subjectStandard NDT methods-
dc.titleA comparative study of different segmentation techniques for detection of flaws in NDE weld images-
dc.typeArticle-
dc.scopusid26665025700-
dc.scopusid56363331000-
dc.affiliationRathod, V.R., Department of Electrical Engineering, Indian Institute of Technology, Roorkee 247667, India-
dc.affiliationAnand, R.S., Department of Electrical Engineering, Indian Institute of Technology, Roorkee 247667, India-
dc.description.correspondingauthorRathod, V.R.; Department of Electrical Engineering, Indian Institute of Technology, Roorkee 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 simple item record


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