Application of PCA in Concrete Infrared Thermography Detection

Abstract

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.