Sizing Subsurface Defects in Metallic Plates by Square Pulse Thermography Using an Oriented Gradient Map
Source abstract
Abstract
We developed a new approach for sizing subsurface defects in the square pulse thermography of metallic plates by employing the oriented gradient of histograms. To size defects with high accuracies is still a challenge in infrared (IR) thermography today. Especially for blurry defects, accurate sizing of them is difficult with existing methods. The oriented gradient of histograms, which is used in the successful probability of boundary (Pb) contour detector in natural image processing literature, is employed in this work to improve the sizing accuracy in square pulse thermography. Experiments on a corroded steel plate with flat blind holes have verified the effectiveness of the proposed approach to size defects. Experimental results show that the proposed approach can size distinct and blurry defects with high accuracies. Comparison research is also implemented between the proposed approach and other sizing methods. The comparison results show that the proposed approach is superior to existing methods.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Thermography and Photoacoustic Techniques · Photoacoustic and Ultrasonic Imaging · Infrared Target Detection Methodologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Engineering, Ocean University of China, Qingdao 266071, China
College of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao 266580, China
Funding
National Key Research and Development Program · Fundamental Research Funds for the Central Universities of China · Shandong Provincial Natural Science Foundation of China
References (35)
Show source-provided references
1. Marks, R., Clarke, A., Featherston, C., Paget, C., and Pullin, R. (2016). Lamb Wave interaction with adhesively bonded stiffeners and disbonds using 3D vibrometry. Appl. Sci., 6.10.3390/app6010012 ↗
2. Proof-of-concept study of monitoring bolt connection status using a piezoelectric based active sensing method10.1088/0964-1726/22/8/087001 ↗
3. Kersemans, M., Martens, A., Degrieck, J., Van Den Abeele, K., Delrue, S., Pyl, L., Zastavnik, F., Sol, H., and Van Paepegem, W. (2016). The ultrasonic polar scan for composite characterization and damage assessment: Past, present and future. Appl. Sci., 6.10.3390/app6020058 ↗
4. A new technique to detect defect size and depth in composite structures using digital shearography and unconstrained optimization10.1016/j.ndteint.2011.07.007 ↗
5. Review of pulsed thermal NDT: Physical principles, theory and data processing10.1016/j.ndteint.2015.03.003 ↗
6. Detection of multiple thin surface cracks using vibrothermography with low-power piezoceramic-based ultrasonic actuator—A numerical study with experimental verification10.1088/0964-1726/25/5/055042 ↗
7. Infrared thermography for condition monitoring—A review10.1016/j.infrared.2013.03.006 ↗
8. IR thermographic detection and characterization of hidden corrosion in metals: General analysis10.1016/j.corsci.2009.11.005 ↗
9. Rastogi, P., and Inaudi, D. (2000). Trends in Optical Nondestructive Testing, Elsevier Science.
10. Quantitative determination of a subsurface defect of reference specimen by lock-in infrared thermography10.1016/j.ndteint.2007.08.006 ↗
11. Ibarra-Castanedo, C., Avdelidis, N.P., and Maldague, X.P. (2005). Defense and Security, International Society for Optics and Photonics.
12. Applications of pulse heating thermography and lock-in thermography to quantitative nondestructive evaluations10.1016/S1350-4495(02)00141-X ↗
13. Maldague, X. (1993). Nondestructive Evaluation of Materials by Infrared Thermography, Springer.10.1007/978-1-4471-1995-1 ↗
14. Heat losses and 3D diffusion phenomena for defect sizing procedures in video pulse thermography10.1016/S1350-4495(02)00155-X ↗
15. Defect sizing by transient thermography. I. An analytical treatment10.1088/0022-3727/27/5/027 ↗
16. Reconstruction of size and depth of simulated defects in austenitic steel plate using pulsed infrared thermography10.1016/j.infrared.2012.02.004 ↗
17. Validation of size estimation of debonds in external wall’s composite finishes via passive Infrared thermography and a gradient algorithm10.1016/j.conbuildmat.2015.03.032 ↗
18. Use of pulsed IR thermography for determination of size and depth of subsurface defect taking into account the shape of its cross-section area10.1515/amm-2015-0181 ↗
19. Inversion of microscopic lock-in thermograms in the presence of emissivity contrast10.1016/j.ndteint.2006.02.003 ↗
20. Matched excitation energy comparison of the pulse and lock-in thermography NDE techniques10.1016/j.ndteint.2008.05.007 ↗
21. Fault diagnosis of photovoltaic modules through image processing and Canny edge detection on field thermographic measurements10.1080/14786451.2013.826223 ↗
22. Dutta, T., Sil, J., and Chottopadhyay, P. (2016, January 8–10). Condition monitoring of electrical equipment using thermal image processing. Proceedings of the IEEE First International Conference on Control, Measurement and Instrumentation (CMI), Kolkata, India.10.1109/CMI.2016.7413761 ↗
23. Unsupervised sparse pattern diagnostic of defects with inductive thermography imaging system10.1109/TII.2015.2492925 ↗
24. Surface crack detection by flash thermography on concrete surface
25. A review of image analysis techniques applied in transient thermographic nondestructive testing10.1080/02780899208953151 ↗
26. Size determination of subsurface defect by active thermography-Simulation research10.1016/j.infrared.2013.11.011 ↗
27. Filtered thermal contrast based technique for testing of material by infrared thermography10.2478/s11772-011-0009-3 ↗
28. Macleod, G., and Wolfond, H. (2009, January 24–27). Image processing for automated flaw detection in pulsed thermography. Proceeding of the 6th International Workshop-NDT Signal Processing, London, ON, Canada.
29. Toward automatic evaluation of defect detectability in infrared images of composites and honeycomb structures10.1016/j.infrared.2015.01.029 ↗
30. An infrared thermal image processing framework based on superpixel algorithm to detect cracks on metal surface10.1016/j.infrared.2014.08.002 ↗
31. Automatic metal parts inspection: Use of thermographic images and anomaly detection algorithms10.1016/j.infrared.2013.07.007 ↗
32. Learning to detect natural image boundaries using local brightness, color and texture cues10.1109/TPAMI.2004.1273918 ↗
33. Contour detection and hierarchical image segmentation10.1109/TPAMI.2010.161 ↗
34. A threshold selection method from gray-level histograms
35. Neubeck, A., and Van Gool, L. (2006, January 20–24). Efficient non-maximum suppression. Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), Hong Kong, China.10.1109/ICPR.2006.479 ↗