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Content Provider | IET Digital Library |
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Author | Dang, Changying Gao, Jianmin Wang, Zhao Chen, Fumin Xiao, Yulin |
Abstract | To improve the accuracy of automatic defect segmentation in radiographic non-destructive testing and evaluation, the authors proposed a multi-step radiographic image enhancement algorithm (MSRE) conforming to weld defect segmentation. In this algorithm, the requirement of defect segmentation is fully considered when enhancing a radiographic testing image. The first-step enhancement is performed by linear weighting between an original radiographic image and its contrast-limited adaptive histogram equalisation image. Anisotropic diffusion filtering is used for simultaneously smoothing the weighted image and preserving the defect edges very well. Then, the filtered image is enhanced by a fuzzy enhancement algorithm as the final-step enhancement and hence, obtaining a new image with high contrast, high definition, and strong edge intensity. The authors compared MSRE with adaptive histogram equalisation, fuzzy enhancement, global contrast enhancement, and local contrast enhancement algorithms and evaluated its performance by using indicators such as image contrast, definition, edge intensity, and information entropy. Furthermore, the authors compared the segmentation results of the enhanced images to further study the algorithm's effect on weld defect segmentation. Experimental results reveal that the quality of enhanced images is significantly improved by MSRE, and the image enhanced by MSRE has an high relative segmentation accuracy (RSA) of more than 95%. |
Starting Page | 943 |
Ending Page | 950 |
Page Count | 8 |
ISSN | 17519659 |
Volume Number | 9 |
e-ISSN | 17519667 |
Issue Number | Issue 11, Nov (2015) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/9/11 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2014.0716 |
Journal | IET Image Processing |
Publisher Date | 2015-09-10 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Adaptive Equalisers Algebra Anisotropic Diffusion Filtering Automatic Optical Inspection Automatic Weld Defect Segmentation Combinatorial Mathematics Computer Vision And Image Processing Technique Contrast Limited Adaptive Histogram Equalisation Image Defect Edge Preservation Edge Detection Edge Intensity Entropy Flaw Detection Fuzzy Enhancement Algorithm Fuzzy Set Theory Global Contrast Enhancement Algorithm Graph Theory Image Enhancement Image Filtering Image Segmentation Information Entropy Inspection And Quality Control Linear Weighting Local Contrast Enhancement Algorithm Material Testing MSRE Multistep Radiographic Image Enhancement Nondestructive Testing: X-Ray Method Optical, Image And Video Signal Processing Radiographic Nondestructive Testing Radiography Relative Segmentation Accuracy Set Theory Smoothing Method Weighted Image Smoothing Welding |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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