Thermal tomography for defect characterization
The use of thermography as a non-destructive testing (NDT) method have been growing and expanding exponentially in the recent years. Many professional fields are making use of this NDT technique for defect detection and defect characterization. There are many algorithms that can help to improve the...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2013
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| Online Access: | http://hdl.handle.net/10356/54000 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | The use of thermography as a non-destructive testing (NDT) method have been growing and expanding exponentially in the recent years. Many professional fields are making use of this NDT technique for defect detection and defect characterization. There are many algorithms that can help to improve the contrast of thermogram images and depth recovery. In this report, the thermographic signal reconstruction (TSR) technique will be explored. TSR capabilities like noise reduction and reduction of memory required to store thermographic data will be examined. An attempt to extend TSR usage to recover information on defect depth will be made. Two approaches will be proposed and analysis will be performed for its reliability. Results indicate that TSR does have the potential in defect depth recovery in specific cases. |
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