Skip to main content
padlock icon - secure page this page is secure

A comparative evaluation of different segmentation techniques to detect flaws in weldments radiographically

Buy Article:

$22.00 + tax (Refund Policy)

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.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: MORPHOLOGICAL EDGE DETECTION; MULTISTAGE WATERSHED TRANSFORMATION; RADIOGRAPHIC IMAGES; REGION GROWING; SEGMENTATION; WELD FLAWS

Document Type: Research Article

Publication date: October 1, 2011

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more