| Title: |
Thermographic Laplacian-pyramid filtering to enhance delamination detection in concrete structure |
| Authors: |
Cheng, Chongsheng, Na, Ri, Shen, Zhigang |
| Source: |
Infrared Physics & Technology, 97, 162-176 (2019) |
| Publication Year: |
2019 |
| Subject Terms: |
Electrical Engineering and Systems Science - Image and Video Processing |
| More Details: |
Despite decades of efforts using thermography to detect delamination in concrete decks, challenges still exist in removing environmental noise from thermal images. The performance of conventional temperature-contrast approaches can be significantly limited by environment-induced non-uniform temperature distribution across imaging spaces. Time-series based methodologies were found robust to spatial temperature non-uniformity but require the extended period to collect data. A new empirical image filtering method is introduced in this paper to enhance the delamination detection using blob detection method that originated from computer vision. The proposed method employs a Laplacian of Gaussian filter to achieve multi-scale detection of abnormal thermal patterns by delaminated areas. Results were compared with the state-of-the-art methods and benchmarked with time-series methods in the case of handling the non-uniform heat distribution issue. To further evaluate the performance of the method numerical simulations using transient heat transfer models were used to generate the 'theoretical' noise-free thermal images for comparison. Significant performance improvement was found compared to the conventional methods in both indoor and outdoor tests. This methodology proved to be capable to detect multi-size delamination using a single thermal image. It is robust to the non-uniform temperature distribution. The limitations were discussed to refine the applicability of the proposed procedure. |
| Document Type: |
Working Paper |
| DOI: |
10.1016/j.infrared.2018.12.039 |
| Access URL: |
http://arxiv.org/abs/1906.03721 |
| Accession Number: |
edsarx.1906.03721 |
| Database: |
arXiv |
