Study of Accurate Measurement of Defect Depth Based on Digital Radiography
Bibliographic record
Abstract
No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.
Source: Not provided · Quality: missing
Research context
OpenAlex topics: Advanced X-ray and CT Imaging · Digital Radiography and Breast Imaging · Welding Techniques and Residual Stresses
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (17)
Show source-provided references
1. Wong, B.S., et al.: Crack detection using image processing techniques for radiographic inspection of aircraft wing spar. Insight 53(10), 552–556 (2011). https://doi.org/10.1784/insi.2011.53.10.55210.1784/insi.2011.53.10.552 ↗
2. Sim, L.M., Tan, T.C., Mon, A.A., et al.: X-ray absorption-based technique to measure the thi-ckness of multi-layered structures. NDT and E Int. 42(4), 291–296 (2009)10.1016/j.ndteint.2008.12.002 ↗
3. Baniukiewicz, P.: Automated defect recognition and identification in digital radiography. J. Nondestruct. Eval. 33(3), 327–334 (2013)10.1007/s10921-013-0216-6 ↗
4. Souza, E.S., Silvani, M.I., Almeida, G.L., et al.: Highlighting concealed features in welding X-ray radiography. Journal of Nondestructive Evaluation 41, 73 (2022). https://doi.org/10.1007/s10921-022-00896-910.1007/s10921-022-00896-9 ↗
5. Kiapasha, Z., Yahaghi, E., Mirzapour, M., et al.: Wall thickness measurement of pipes using digital radiography and three wavelet methods. Journal of Nondestructive Evaluation 39(1), 1216–1224 (2020)10.1007/s10921-020-0654-x ↗
6. Chen, L., Li, B., Zhou, H.: Detection of three-dimensional parameter of defects for gas turbine blades based on two-dimensional digital radiographic projective imaging. J. Nondestruct. Eval. 38(4), 101–110 (2019)10.1007/s10921-019-0640-3 ↗
7. Movafeghi, A., Yahaghi, E., Mirzapour, M., et al.: Defect measurement in welded objects by radiography testing and Chambolle’s image processing method. Journal of Nondestructive Evaluation 40, 49 (2021). https://doi.org/10.1007/s10921-021-00779-510.1007/s10921-021-00779-5 ↗
8. Celiktas, C.: A method to determine the gamma-ray linear attenuation coefficient. Ann. Nucl. Energy 38(9), 2096–2100 (2011). https://doi.org/10.1016/j.anucene.2011.05.01510.1016/j.anucene.2011.05.015 ↗
9. Park, C., Lee, D., Kim, W., et al.: Wide image stitching based on software exposure comp-ensation in digital radiography. Journal of the Korean Physical Society 74(11), 1067–1072 (2019). https://doi.org/10.3938/jkps.74.106710.3938/jkps.74.1067 ↗
10. Demir, F., Budak, G., Karabulut, A.: Determination of effect of X-ray T-ube emission current (IE) on intensities of Xrays for two different sample preparation meth-od using correction factor in WDXRF spectrometer. Instrum. Sci. Technol. 37(4), 437–445 (2009). https://doi.org/10.1080/1073914090308781610.1080/10739140903087816 ↗
11. Liu B. High dynamic range X-ray imaging technology and System. North University of Ch-ina, 2014.
12. Bell, G.E.: Spectral distribution in the continuous x-ray spectrum and the specification of x-ray quality. Br. J. Radiol. 9(106), 680–688 (1936)10.1259/0007-1285-9-106-680 ↗
13. Mery D ,Pieringer C . Computer Vision for X-Ray Testing.Springer.
14. Tu, Y.Y.: Radiographic detection technology. Aviation Industry Press, Beijing (1989)
15. Cao G H. Material Science Research and Testing Methods . Nanjing Southeast Unive-rsity Press: 201307.354.
16. Bushberg, J.T., Seibert, J.A., Leidholdt, E.M., Boone, J.M.: The essential physics of medical imaging, 4th ed Wolters Kluwer (2020)
17. ISO-17636–2: Non-destructive Testing of Welds—Radiographic Testing—Part 2: X- an-d Gamma-Ray Techniques with Digital Detectors, International Organization for Standardiza-tion, Geneva (2013)