TY - JOUR
T1 - Segmentation of radiographic images using fuzzy c-means algorithm
AU - Wang, Xin
AU - Wong, Brian Stephen
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2005/10
Y1 - 2005/10
N2 - Radiographic non-destructive testing is often used for detecting welding defects. Due to the degraded quality and the small size of the defects, X-ray films are sometimes difficult to interpret. The interpretation of such images is often affected by a human operator's subjectivity. Digital image processing techniques allow the interpretation to be automated. A key step in the automated interpretation process is the segmentation of indications from the background. In this paper, a segmentation method based on fuzzy c-means algorithm is applied to the radiographic image. In the proposed method, firstly top-hat, bottom-hat filter and adaptive wavelet thresholding are used to improve the quality of the radiographic image. Then, a fuzzy c-means algorithm is applied to segment the radiographic image. The experimental results show that the proposed method gives good performance for radiographic images.
AB - Radiographic non-destructive testing is often used for detecting welding defects. Due to the degraded quality and the small size of the defects, X-ray films are sometimes difficult to interpret. The interpretation of such images is often affected by a human operator's subjectivity. Digital image processing techniques allow the interpretation to be automated. A key step in the automated interpretation process is the segmentation of indications from the background. In this paper, a segmentation method based on fuzzy c-means algorithm is applied to the radiographic image. In the proposed method, firstly top-hat, bottom-hat filter and adaptive wavelet thresholding are used to improve the quality of the radiographic image. Then, a fuzzy c-means algorithm is applied to segment the radiographic image. The experimental results show that the proposed method gives good performance for radiographic images.
UR - http://www.scopus.com/inward/record.url?scp=27144460534&partnerID=8YFLogxK
U2 - 10.1784/insi.2005.47.10.631
DO - 10.1784/insi.2005.47.10.631
M3 - Article
AN - SCOPUS:27144460534
SN - 1354-2575
VL - 47
SP - 631
EP - 633
JO - Insight: Non-Destructive Testing and Condition Monitoring
JF - Insight: Non-Destructive Testing and Condition Monitoring
IS - 10
ER -