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Application of PCA in Concrete Infrared Thermography Detection
2015
Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences
unpublished
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
doi:10.2991/iwmecs-15.2015.160
fatcat:kbxovgpqvjeetjnbzbxxt7eqly