Application of PCA in Concrete Infrared Thermography Detection
Ning An, Jun Xie, Xiaohua Zheng, Xiaoni Gao
Available Online October 2015.
- 10.2991/iwmecs-15.2015.160How to use a DOI?
- Infrared Thermography, Concrete, Non-destructive Testing, Principal Components Analysis.
Infrared thermography has been a very important nondestructive evaluation (NDE) in the detection of concrete due to its non-contactness, rapidity, capability of imaging large area. More generally, there are some frames in the infrared image sequence. It costs more time to read the information behind the infrared image directly, and the result is influenced by subjective factors in the most degree. Principal component analysis (PCA) is used to convert an infrared image sequence into a set of principal components. Then, the detection result can be got quickly by keeping the lower principal components and ignoring the higher ones.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ning An AU - Jun Xie AU - Xiaohua Zheng AU - Xiaoni Gao PY - 2015/10 DA - 2015/10 TI - Application of PCA in Concrete Infrared Thermography Detection BT - Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences PB - Atlantis Press SP - 809 EP - 814 SN - 2352-538X UR - https://doi.org/10.2991/iwmecs-15.2015.160 DO - 10.2991/iwmecs-15.2015.160 ID - An2015/10 ER -